From fayyad@aig.jpl.nasa.gov Tue Aug 1 05:07:56 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Tue, 1 Aug 95 05:07:54 -0500; AA16986 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Tue, 1 Aug 95 05:07:51 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa20838; 31 Jul 95 21:39:05 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa20836; 31 Jul 95 21:31:16 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa03464; 31 Jul 95 21:30:55 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa20967; 31 Jul 95 18:12:23 EDT Received: from mathman.jpl.nasa.gov by CS.CMU.EDU id aa29815; 31 Jul 95 18:11:18 EDT Received: by mathman.jpl.nasa.gov (4.1/JPL-AIG-1.0) id AA17554; Mon, 31 Jul 95 15:10:50 PDT Date: Mon, 31 Jul 95 15:10:50 PDT From: Usama Fayyad Message-Id: <9507312210.AA17554@mathman.jpl.nasa.gov> To: Connectionists@cs.cmu.edu Subject: please post Cc: kdd95@aig.jpl.nasa.gov Hello, the following pointer to the homepage of KDD-95 conference and list of program and accepted papers would be of interest to connectionists list. I would appreciate your posting it for us. Thanks, Usama ________________________________________________________________ Usama Fayyad | Fayyad@aig.jpl.nasa.gov Machine Learning Systems Group | Jet Propulsion Lab M/S 525-3660 | (818) 306-6197 office California Institute of Technology | (818) 306-6912 FAX 4800 Oak Grove Drive | Pasadena, CA 91109 | _____________________________________|__________________________ CALL FOR PARTICIPATION THE FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD-95) Sponsored by the American Association for Artificial Intelligence, Cosponsored by AT&T Global Information Solutions, JPL/NASA, GTE, and in cooperation with IJCAI, Inc; collocated with IJCAI-95. August 20-21, 1995: Montreal, Canada. The final program for the first International Conference on Knowledge Discovery and Data Mining is now available online at the KDD-95 WWW page: http://www-aig.jpl.nasa.gov/kdd95 Please join us for the First International Conference on Knowledge Discovery and Data Mining (KDD-95). With the advances in data acquisition and storage technologies, the problem of how to turn raw data into useful information becomes a significant one. Having reached sizes that defy even partial examination by humans, modern databases and collections of data sets are literally swamping users. This data firehose phenomenon appears in many fields including science data analysis, medical and healthcare, corporate and marketing, and financial markets. Knowledge Discovery in Databases (KDD) and Data Mining are areas of common interest to researchers in machine learning, machine discovery, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. Due to strong demand for participation and the growing demand for formal proceedings, it has become necessary to change the format of the previous KDD workshops to a conference with open attendance. This conference will continue in the tradition of the 1989, 1991, 1993, and 1994 KDD workshops by bringing together researchers and application developers from different areas, and focusing on unifying themes such as the use of domain knowledge, managing uncertainty, interactive (human-oriented) presentation, and applications. The technical program includes 2 days of plenary talks, 3 invited speakers, a demo session, 2 poster sessions, and a panel discussion. In total about 60 papers will be presented at the conference. The invited speakers are Professor Jerome Friedman (Stanford University), Professor David Haussler (UC Santa Cruz) and Professor Tomasz Imielinski (Rutgers University). Registration information is available through IJCAI: contact ijcai@aaai.org or visit the KDD-95 WWW page mentioned above. We look forward to seeing you in Montreal! Usama M. Fayyad, Jet Propulsion Laboratory, KDD-95 Program Cochair Ramasamy Uthurusamy, General Motors Research, KDD-95 Program Cochair Program Committee ========================================================================== Rakesh Agrawal (IBM) Tej Anand (AT&T GIS) Ron Brachman (AT&T Bell Labs) Wray Buntine (Heuristicrats Inc) Nick Cercone (Univ. of Regina) Peter Cheeseman (NASA AMES) Greg Cooper (Univ. of Pittsburgh) Brian Gaines (Univ. of Calgary) Clark Glymour (CMU) David Hand (Open University, UK) David Heckerman (Microsoft) Se June Hong (IBM Watson) Larry Jackel (AT&T Bell Labs) Larry Kerschberg (GMU) Willi Kloesgen (GMD, Germany) David Madigan (Univ. of Washington) Chris Matheus (GTE Labs) Heikki Mannila (Univ. of Helsinki) Gregory Piatetsky-Shapiro (GTE Labs) Daryl Pregibon (AT&T Bell Labs) Arno Siebes (CWI, Netherlands) Evangelos Simoudis (IBM Almaden) Andrzej Skowron (Univ. of Warsaw) Padhraic Smyth (JPL) Alex Tuzhilin (NYU Stern School) Xindong Wu (Monash Univ, Australia) Wojciech Ziarko (Univ. of Regina) Jan Zytkow (Wichita State Univ.) ---------------------------------------------------------------------------- From sschaal@hip.atr.co.jp Tue Aug 1 07:30:27 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Tue, 1 Aug 95 07:30:24 -0500; AA17969 Received: from bilby.cs.uwa.oz.au by lucy.cs.wisc.edu; Tue, 1 Aug 95 07:30:20 -0500 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id QAA19673; Tue, 1 Aug 1995 16:32:22 +0800 Message-Id: <199508010832.QAA19673@cs.uwa.oz.au> From: Stefan Schaal To: reinforce@cs.uwa.edu.au Subject: Paper available on incremental local learning [connectionists] Date: Tue, 1 Aug 95 13:31:27 JST The following paper is available by anonymous FTP or WWW: FROM ISOLATION TO COOPERATIONION: AN ALTERNATIVE VIEW OF A SYSTEM OF EXPERTS Stefan Schaal and Christopher G. Atkeson submitted to NIPS'95 We introduce a constructive, incremental learning system for regression problems that models data by means of locally linear experts. In contrast to other approaches, the experts are trained independently and do not compete for data during learning. Only when a prediction for a query is required do the experts cooperate by blending their individual predictions. Each expert is trained by minimizing a penalized local cross validation error using second order methods. In this way, an expert is able to adjust the size and shape of the receptive field in which its predictions are valid, and also to adjust its bias on the importance of individual input dimensions. The size and shape adjustment corresponds to finding a local distance metric, while the bias adjustment accomplishes local dimensionality reduction. We derive asymptotic results for our method. In a variety of simulations we demonstrate the properties of the algorithm with respect to interference, learning speed, prediction accuracy, feature detection, and task oriented incremental learning. ------------------------- The paper is 8 pages long, requires 2.3 MB of memory (uncompressed), and is ftp-able as: ftp://ftp.cc.gatech.edu/people/sschaal/schaal-NIPS95.ps.gz or can be accessed through: http://www.cc.gatech.edu/fac/Stefan.Schaal/ http://www.hip.atr.co.jp/~sschaal/ Comments are most welcome. From malcolm%flash@newcastle.ac.uk Wed Aug 2 06:00:09 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 2 Aug 95 06:00:00 -0500; AA29144 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 2 Aug 95 05:59:58 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa22408; 1 Aug 95 21:31:34 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa22404; 1 Aug 95 21:05:53 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04665; 1 Aug 95 21:04:55 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa02181; 1 Aug 95 7:36:40 EDT Received: from [128.240.2.10] by CS.CMU.EDU id aa03865; 1 Aug 95 7:36:26 EDT Received: from flash.ncl.ac.uk by cheviot.ncl.ac.uk id (8.6.12/ for ncl.ac.uk) with SMTP; Tue, 1 Aug 1995 12:36:04 +0100 Received: by flash.ncl.ac.uk (931110.SGI/930416.SGI) for @cheviot.ncl.ac.uk:connectionists@CS.CMU.EDU id AA07281; Tue, 1 Aug 95 12:35:01 +0200 From: Malcolm Young Message-Id: <9508011235.ZM7279@flash.ncl.ac.uk> Date: Tue, 1 Aug 1995 12:35:00 -0600 X-Mailer: Z-Mail (3.1.0 22feb94 MediaMail) To: connectionists@cs.cmu.edu Subject: Assistant Professorships in the U.K. Content-Type: text/plain; charset=us-ascii Mime-Version: 1.0 UNIVERSITY OF NEWCASTLE UPON TYNE DEPARTMENT OF PSYCHOLOGY Lecturers in Cognitive and Computational Neuroscience or Behavioural Ecology Applications from suitably qualified and experienced scientists are invited for two lectureships in this enthusiastic and expanding department. Candidates should have a good honours degree, a doctorate, knowledge of computing and multivariate data analysis, and a record of research activity in published papers and research support. Applicants who will contribute to three areas of research: (1) cognitive, sensory and systems neuroscience, (2) neural network computing, and (3) behavioural ecology are particularly encouraged. Excellent research facilities and support will be provided. Salary will be on the Lecturer Scale (to GBP26,430), at a position determined by qualifications and experience. The Department of Psychology at Newcastle is broadly-based and rapidly growing. All undergraduate courses offered by the Department are heavily over-subscribed and the Department's postgraduate research community is the fastest growing of any in the university. Staff have research programs in cognitive neuroscience, behavioural ecology, and applied, occupational, health, social and cognitive psychology. The Department is also the home of the Neural Systems Group, an interdisciplinary centre for research in sensory, systems, computational and cognitive neuroscience, and neural network computing. The members of the Neural Systems Group are drawn from the Departments of Psychology, Physiological Sciences and the School of Neurosciences. Further details of the department and the Neural Systems Group can be found on the WWW at http://york37.ncl.ac.uk/www/psychol.html No forms of application are to be issued. Applications should take the form of a covering letter and three copies of the applicant's full curriculum vitae, with details of present salary and the names and addresses of three referees. Informal enquiries may be made to Prof. Malcolm Young (0191-222-7525, mpy%crunch@ncl.ac.uk). Applications should be sent to: the Director of Personnel, University of Newcastle upon Tyne, NE1 7RU, UK. -- +------------------------------------------------------------------------+ + + + Professor Malcolm P. Young Tel: 0191 222 7525 + + Department of Psychology Fax: 0191 222 5622 + + Ridley Building + + University of Newcastle + + Newcastle upon Tyne + + NE1 7RU Email: malcolm@flash.ncl.ac.uk + + UK mpy@crunch.ncl.ac.uk + + nmpy@ncl.ac.uk + +------------------------------------------------------------------------+ From black@signal.dra.hmg.gb Wed Aug 2 06:00:10 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 2 Aug 95 06:00:03 -0500; AA29154 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 2 Aug 95 05:59:59 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab22408; 1 Aug 95 21:33:19 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab22404; 1 Aug 95 21:05:54 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04670; 1 Aug 95 21:05:22 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa08807; 1 Aug 95 14:09:56 EDT Received: from signal.dra.hmg.gb by EDRC.CMU.EDU id aa24405; 1 Aug 95 12:04:49 EDT Received: from byron.dra.hmg.gb by signal.dra.hmg.gb (8.6.12) id RAA21133; Tue, 1 Aug 1995 17:03:12 +0100 Received: from ovid.dra.hmg.gb by byron.dra.hmg.gb (8.6.10) id RAA28457; Tue, 1 Aug 1995 17:03:10 +0100 Received: from localhost.dra.hmg.gb by ovid.dra.hmg.gb (8.6.10) id RAA10684; Tue, 1 Aug 1995 17:03:10 +0100 Message-Id: To: Connectionists@cs.cmu.edu Cc: black@DST.BOLTZ.CS.CMU.EDU Subject: Vacancies at the Defence Research Agency (Malvern, UK) Date: Tue, 01 Aug 95 17:03:09 +0100 From: "John V. Black" X-Mts: smtp VACANCIES IN PATTERN & INFORMATION PROCESSING AT THE DEFENCE RESEARCH AGENCY (DRA) IN MALVERN, WORCESTERSHIRE, ENGLAND Vacancies The Pattern & Information Processing (PIP) group within the Signal & Information Processing department has vacancies for research staff interested in Artificial Neural Networks or Statistical Pattern Recognition. Members of PIP invent, develop and provide advice on techniques which can be used to understand and interpret data/information in order to either aid decision-makers or automate decision-making. Techniques currently under investigation include novel self-organising networks; modifications to standard techniques to incorporate prior knowledge and known invariances, statistical pattern recognition techniques; multi-level information processing; fusion algorithms; tracking; classification; Bayesian inference; neural networks; decision making; and analogue information processing systems. Our aim is to research the underlying theoretical foundation of relevant techniques to create the knowledge and deep understanding required to provide advice for all DRA projects involving these techniques. Mathematical rigour with a methodical approach to experimental validation provides the necessary solid foundations for our work. The general emphasis is on techniques which are applicable to many domains but support is also provided to specific collaborative projects which both demonstrate the usefulness of our techniques and stimulate further developments. All members of staff are encouraged to develop to their full potential via continuing professional development based upon a wide range of training opportunities, including international conferences. Initially, a successful recruit may undertake work ranging from long term research to shorter term applications studies and consultancy, if appropriate. They will also be given every encouragement to initiate new research projects, develop/expand existing research themes and liaise with other projects. Starting salary will be based upon relevant experience in the range 10-26K Pounds Sterling (under review) or higher for exceptional candidates. Qualifications & Experience We have the flexibility to make appointments appropriate for applicants ranging from new graduates to experienced researchers. Successful candidates will probably have a good first degree in an appropriate scientific discipline. Proven research experience, typically a higher degree or equivalent, in one or more relevant areas such as information fusion, information processing, pattern recognition (including neural networks), decision support, statistical modelling or physical modelling, is preferable. It is also important that applicants be experienced in the software development of algorithms, models and experiments. Knowledge of defence applications projects would be an advantage for more senior appointments. Please note that successful applicants will need to be security cleared by the UK Ministry of Defence. DRA is an equal opportunities employer. Applications Application forms can be obtained from : CIS Recruitment Office G Building Defence Research Agency St Andrews Road Malvern Worcestershire WR14 3PS Telephone : (01684) 895642 Please mark any such applications for the attention of G D Whitaker, CIS5 department. Further information Further information about the DRA can be obtained on the world wide web (http://www.dra.hmg.gb/) although the PIP home page is still under construction and so not yet visible. Alternatively, e-mail gdw@signal.dra.hmg.gb with any specific questions or with CVs prior to submission of a formal application. From wimw@mbfys.kun.nl Thu Aug 3 04:06:29 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 3 Aug 95 04:06:24 -0500; AA11879 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 3 Aug 95 04:06:22 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa23938; 3 Aug 95 1:18:35 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa23936; 3 Aug 95 0:53:46 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa05920; 3 Aug 95 0:53:01 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa08198; 2 Aug 95 22:14:06 EDT Received: from septimius.mbfys.kun.nl by RI.CMU.EDU id aa13606; 2 Aug 95 22:13:10 EDT Received: from dontcare by septimius.mbfys.kun.nl via nero.mbfys.kun.nl [131.174.82.67] with SMTP id EAA13487 (8.6.10/2.4); Thu, 3 Aug 1995 04:13:33 +0200 Date: Thu, 3 Aug 1995 04:13:33 +0200 From: Wim Wiegerinck Message-Id: <199508030213.EAA13487@septimius.mbfys.kun.nl> To: Connectionists@cs.cmu.edu Subject: SNN symposium Neural Networks and AI - Final Program Cc: wimw@mbfys.kun.nl NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE Scientific track of the 3rd SNN Neural Network Symposium September 14-15, 1995 Nijmegen, the Netherlands http://www.mbfys.kun.nl/SNN/Symposium/ //////////////////////////////////////////////////////////////////////////// On september 14 and 15 SNN will organize its annual Symposium on Neural Networks in the University Auditorium and Conference Centre of the University of Nijmegen. The topic of the conference is "Neural Networks and Artificial Intelligence". The term "Artificial Intelligence" is often associated with "traditional AI" methodology. Here it used in its literal sense, indicating the problem to create intelligence by artificial means, regardless of the method that is being used. The aim of the conference is two-fold: to give an overview of new developments in neuro-biology and the cognitive sciences that may lead to novel computational paradigms and to give an overview of recent achievements for some of the major conceptual problems of artificial intelligence and data modelling. The conference consists of 4 one-half day single track sessions. Each session will consist of 2 invited contributions and 2 or 3 contributions selected from the submitted papers. In addition there will be poster sessions. There are about 50 selected papers and we expect approximately 250 attendants. The proceedings will be published by Springer-Verlag. //////////////////////////////////////////////////////////////////////////// PROGRAM //////////////////////////////////////////////////////////////////////////// Thursday, 14 September 8.50 - C.C.A.M. Gielen Opening remarks Neurobiology ------------ 9.00 - R. Eckhorn Segmentation coding in the visual system Neural signals that possibly support scene segmentation 9.30 - B. van Dijk Synchrony and plasticity in the visual cortex 10.00 - K. Kopecz Dynamic representations provide the gradual specification of movement parameters 10.20 - J. Krueger Recording from foveal striate cortex while the monkey is looking at the stimulus 10.40 - Coffee & posters 11.10 - L. van Hemmen What coherently spiking neurons are good for 11.40 - A. Herz Rapid local synchronization from spiking cells to synfire webs 12.10 - M.-O. Gewaltig Propagation of synfire activity in cortical networks: a statistical approach 12.30 - M. Arndt Propagation of synfire activity in cortical networks: a dynamical systems approach 12.50 - Lunch & posters Cognitive modeling and rule extraction -------------------------------------- 14.30 - F. Wiersma The BB neural network rule extraction method 14.50 - N. Bakker Implications of Hadley's definition of systematicity 15.10 - G.J. Dalenoort and P.H. de Vries The binding problem in distributed systems 15.30 - Tea & posters 16.10 - J.A. Tepper Integrating symbolic and subsymbolic architecture for parsing arithmetic expressions and natural language sentences 16.30 - L. Martignon Bayesian strategies for machine learning: rule extraction and concept detection 17.00 - Reception & posters 18.30 - Closing =========================================================================== Friday, 15 September Robotics and vision ------------------- 9.00 - F. Groen A visually guided robot and a neural network join to grasp slanted ogbjects 9.30 - S. Thrun The mobile robot Rhino 10.00 - R.P. Wurtz Background invariant face recognition 10.20 - Coffee & posters 11.00 - B. Krose Learning structure from Motion: how to represent two-valued functions 11.20 - D. Roobaert A natural object recognition system using Self-organizing Translation-Invariant Maps (STIMs) 11.40 - R. Geraets Affine scale-space for discrete point sets 12.00 - Posters 12.30 - Lunch Statistical pattern recognition ------------------------------- 13.30 - B. Ripley Statistical ideas for selecting network architectures 14.00 - D. MacKay Developments in probabilistic modelling with neural networks -- ensemble learning 14.30 - C. Campbell A constructive algorithm for building a feed-forward neural network 14.50 - S.H. Lokerse Density estimation using SOFM and adaptive kernels 15.10 - H. von Hasseln Maximum likelihood estimates for Markov networks using inhomogeneous Markov chains 15.30 - Tea & posters Applications of neural networks ------------------------------- 16.00 - E. Turkcan Optimal training for neural network applied to nuclear technology 16.20 - H.A.B. te Braake Nonlinear predictive control with neural models 16.40 - G. Schram System identification with orthogonal basis functions and neural networks 17.00 - Posters 17.30 - Closing /////////////////////////////////////////////////////////////////////////////// Throughout the whole conference about 30 posters will be presented. More information on the poster sessions can be found on WWW : http://www.mbfys.kun.nl/SNN/Symposium/posters.html /////////////////////////////////////////////////////////////////////////////// PROGRAM COMMITTEE Aertsen (Weizmann Institute, Israel), Amari (Tokyo University), Buhmann (University of Bonn), van Dijk (University of Amsterdam), Eckhorn (University of Marburg), Gielen (University of Nijmegen), van Hemmen (University of Munchen), Herz (University of Oxford), Heskes (University of Nijmegen), Kappen (University of Nijmegen), Krose (University of Amsterdam), Lopez (University of Madrid), Martinetz (Siemens Research, Munchen), MacKay (University of Cambridge), von Seelen (University of Bochum, Germany), Taylor (King's College, London) INDUSTRIAL TRACK There will be an industrial conference entitled NEURAL NETWORKS IN PRACTICE which runs concurrently with the scientific conference. A selection of the best working and 'money making' applications of neural networks in Europe will be presented. The industrial track is organized as part of the activities of the Esprit project SIENA which aims are to conduct a survey of successful and unsuccessful applications of neural networks in the European market. For additional information and a detailed program, please contact SNN at the address below. VENUE The conference will be held at the University Auditorium and Conference Centre of the University of Nijmegen. Instructions on how to get to the University Auditorium and Conference Centre will be sent to you with your conference registration. CONFERENCE REGISTRATION The registration fee for the industrial track is Hfl 450 for two days and includes coffee/tea and lunches. One day registration is Hfl 300. Industrial registration gives access to the industrial track presentations as well as the scientific oral and poster presentations, and includes a copy of the proceedings. The registration fee for the scientific track is Hfl 300 for the two days and includes coffee/tea and lunches. One day registration is Hfl 200. Scientific registration gives access to the scientific oral and poster presentations, and includes a copy of the proceedings. Full-time PhD or Master students may register at a reduced rate. The registration fee for students is Hfl 150 for the two days and includes coffee/tea and lunches. Student registration gives access to the scientific oral and poster presentations. Students must send a copy of their university registration card or a letter from their supervisor together with the registrati on form. Methods of payment are outlined in the enclosed registration form. To those who have completed the registration form with remittance of the appropriate fees, a receipt will be sent. This receipt should be presented at the registration desk at the conference. Payment must have been received by us before the conference. If not, you will have to pay in cash or with personal cheques at the conference. At the conference site, credit cards will be accepted (e.g. American Express, Master Card and VISA). CANCELLATION Notification of cancellation must be sent in writing to the Conference Organizing Bureau of the University of Nijmegen (see address below). Cancellations will not be refunded, but the proceedings will be mailed. ACCOMMODATIONS Hotel reservations will be made for you as indicated on the registration form. Payment can be made at arrival or departure of the hotel (depends on the hotel policy). All hotels are in central Nijmegen and within a ten minute bus ride from the University. The Foundation for Neural Networks and the Conference Organizing bureau cannot be held responsible for hotel reservations and related costs. LIABILITY SNN cannot be held liable for any personal accident or damage to the private property of participants during the conference. //////////////////////////////////////////////////////////////////////////////////// REGISTRATION FORM Send this registration form to: University of Nijmegen Conference organization bureau POBox 9111 6500 HN Nijmegen, The Netherlands tel: +31 80 615968 or 612184 fax: +31 80 567956 Name: .................................................Mr/Mrs Affiliation: ................................................ Address: .................................................... Zipcode/City: ............................................... Country: .................................................... Conference Registration () I will participate at the SNN symposium Amount () industrial registration 2 days Hfl 450,= () industrial registration 1 day: 14/15 september*) Hfl 300,= () academic registration 2 days Hfl 300,= () academic registration 1 day: 14/15 september*) Hfl 200,= () student registration Hfl 150,= *) please strike what is not applicable () Bank transfer has been made (free of bank charges) to SNN conferences, Credit Lyonnais Nederland NV Nijmegen, on bank account number 637984838, swift code CRLIJNL2RS. Amount: ..................................... () Charge my credit card for the amount of ....................... () VISA () Master Card () America Express Card no.: Expiration date: Signature: () Please make hotel reservations in my name: Date of arrival: Date of departure: Single/double room (strike what is not applicable) single double (prices per night) () Hotel Mercure 145.00 165.00 () Hotel Apollo 90.00 120.00 () Hotel Catharina 57.50 115.00 () Hotel Catharina 43.50 87.00 (without shower and toilet) ///////////////////////////////////////////////////////////////////////////// Enquiries should be addressed to: Prof.dr. C. Gielen, Dr. H. Kappen, Mrs. E. Burg Foundation for Neural Networks (SNN) University of Nijmegen PObox 9101 6500 HB Nijmegen, The Netherlands tel: +31 80 614245 fax: +31 80 541435 email: snn@mbfys.kun.nl More information on both the scientific and the industrial track can be found on WWW http://www.mbfys.kun.nl/SNN/Symposium/ Best regards, Wim Wiegerinck From wimw@mbfys.kun.nl Thu Aug 3 22:49:54 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 3 Aug 95 22:49:47 -0500; AA26932 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 3 Aug 95 22:49:44 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa24869; 3 Aug 95 20:51:15 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa24867; 3 Aug 95 20:37:08 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa06719; 3 Aug 95 20:36:25 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa12140; 3 Aug 95 5:26:52 EDT Received: from septimius.mbfys.kun.nl by CS.CMU.EDU id aa24092; 3 Aug 95 5:26:18 EDT Received: from anastasius.mbfys.kun.nl by septimius.mbfys.kun.nl via anastasius.mbfys.kun.nl [131.174.83.54] with ESMTP id LAA13977 (8.6.10/2.4); Thu, 3 Aug 1995 11:25:39 +0200 From: Wim Wiegerinck Received: by anastasius.mbfys.kun.nl id LAA25549 (8.6.10/2.1); Thu, 3 Aug 1995 11:25:06 +0200 Message-Id: <199508030925.LAA25549@anastasius.mbfys.kun.nl> Subject: SNN symposium Neural Networks in Practice - Final Program To: Connectionists@cs.cmu.edu Date: Thu, 3 Aug 1995 11:25:05 +0200 (MET DST) Cc: Wim Wiegerinck X-Mailer: ELM [version 2.4 PL24] Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Length: 10786 NEURAL NETWORKS IN PRACTICE Applications of neural networks in business and industry Industrial track of the 3rd SNN Neural Network Symposium September 14-15, 1995 Nijmegen, the Netherlands http://www.mbfys.kun.nl/SNN/Symposium/ /////////////////////////////////////////////////////////////////////////// PROGRAM /////////////////////////////////////////////////////////////////////////// The ability of neural networks to learn solutions, rather than having to be programmed, makes them suitable for a wide range of applications in business and industry. A rapidly increasing number of organisations already benefit of neural computing. This symposium offers you the opportunity to see how your organisation too might benefit of the possibilities of neural networks. WHAT DOES THE SYMPOSIUM OFFER? On this two day symposium a selection of the best neural network applications in diverse sectors of industry and business will be presented and discussed. The presentations are of first-hand from people who themselves work with these applications. Moreover there will be stands which can provide you with more information about possible applications of neural networks in your organisation. It gives you the opportunity to make contacts to help you realising these applications. WHO SHOULD ATTEND? This is not a technical or scientific symposium. It is intended for managers from business and industries to know more about the relevance and applicability of neural networks in their organization. LANGUAGE and PROCEEDINGS The main language of this symposium will be Dutch. The presentations of the non-Dutch speakers will be in English. The proceedings (in English) will be published by Springer-Verlag. ORGANISATION: Foundation for Neural Networks(SNN) IN COLLABORATION WITH: InnovatieCentrum Midden- en Zuid-Gelderland (IC) Vereniging Artificiele Neurale Netwerken (VANN) This symposium is organised as part of SIENA (Esprit project EP-9811). ////////////////////////////////////////////////////////////////////////////// PROGRAM Registration from 8.00 Thursday 14 September 1995 NEURAL NETWORKS in the PRODUCTION SECTOR OPENING 8.50 - B. Kappen (SNN, NL) Welkom 9.00 - E. Au'ee (InnovatieCentrum, NL) Toepasbaarheid van neurale netwerken in het mkb CALCULATION 9.30 - H. Brockmeijer (Smit Transformatoren, NL) Calculatie voor klant-specifieke transformatoren 10.00 - coffee PROCESS CONTROL 11.00 - A. de Weyer (Akzo Nobel, NL) Modelleren van industriele processen mbv neurale netwerken en genetische algoritmen 11.30 - T. Martinetz (Siemens AG, D) Neural network control for steel rolling mills 12.00 - lunch 14.00 - J. MacIntyre (University of Sunderland / National Power, UK) Condition monitoring with National Power 14.30 - M. Collins (NCS, UK) Electronic nose for process control 15.00 - tea QUALITY CONTROL 16.00 - H.-J. Kolb (MEDAV GmbH, D) Acoustic quality control of roofing tiles 16.30 - A. Timmermans (ATO-DLO, NL) Automatisch sorteren van potplanten 17.00 - reception =============================================================================== Friday 15 September 1995 NEURAL NETWORKS in the SERVICES SECTOR OPENING 8.50 - B. Kappen (SNN, NL) Welkom MARKETING 9.00 - R. ter Heide (SMR, NL) Neurale netwerken in direct marketing 9.30 - R. J. Sch"uring (BrandmarC BV, NL) Modelleren van marktdynamiek in voedingsmiddelen en duurzame gebruiksartikelen 10.00 - coffee ADMINISTRATION 11.00 - A. Hogervorst (Document Access BV, NL) Handschriftherkenning mbv neurale netwerken FINANCE 11.30 - H. G. Zimmerman (Siemens AG, D) Neural networks - the future of forecasting in finance ? 12.00 - lunch SAFETY 14.00 - G. Hesketh (AEA Technology, UK) Countermatch: a neural network approach to automatic signature verification 14.30 - J. Kopecz, (Zentrum fur Neuroinformatik, D) Access control by recognition of human faces 15.00 - tea TRANSPORT 16.00 - H. W"ust (Rijkswaterstaat, NL) Stroomverwachtingen voor scheepvaartbegeleiding bij IJmuiden 17.00 - closing //////////////////////////////////////////////////////////////////////////////// INFORMATION STANDS ================= During the conference much time is reserved for visiting stands from e.g. technology suppliers. If your company would like to present itself with a stand during our symposium, please contact SNN at the address below. FOUNDATION FOR NEURAL NETWORKS (SNN) Geert Grooteplein Noord 21 6525 ZX Nijmegen The Netherlands tel: +31 80-614245 fax: +31 80-541435 email snn@mbfys.kun.nl /////////////////////////////////////////////////////////////////////////////// SCIENTIFIC TRACK There will be an scientific track entitled NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE which runs concurrently with the industrial track. New fundamental and applied developments in the area of neural networks will be presented. Registration for the industrial track gives access to the scientific track. For additional information and a detailed program, please contact SNN at the address below. VENUE The conference will be held at the University Auditorium and Conference Centre of the University of Nijmegen. Instructions on how to get to the University Auditorium and Conference Centre will be sent to you with your conference registration. CONFERENCE REGISTRATION The registration fee for the industrial track is Hfl 450 for two days and includes coffee/tea and lunches. One day registration is Hfl 300. Industrial registration gives access to the industrial track presentations as well as the scientific oral and poster presentations, and includes a copy of the proceedings. The registration fee for the scientific track is Hfl 300 for the two days and includes coffee/tea and lunches. One day registration is Hfl 200. Scientific registration gives access to the scientific oral and poster presentations, and includes a copy of the proceedings. Full-time PhD or Master students may register at a reduced rate. The registration fee for students is Hfl 150 for the two days and includes coffee/tea and lunches. Student registration gives access to the scientific oral and poster presentations. Students must send a copy of their university registration card or a letter from their supervisor together with the registration form. Methods of payment are outlined in the enclosed registration form. To those who have completed the registration form with remittance of the appropriate fees, a receipt will be sent. This receipt should be presented at the registration desk at the conference. Payment must have been received by us before the conference. If not, you will have to pay in cash or with personal cheques at the conference. At the conference site, credit cards will be accepted (e.g. American Express, Master Card and VISA). CANCELLATION Notification of cancellation must be sent in writing to the Conference Organizing Bureau of the University of Nijmegen (see address below). Cancellations will not be refunded, but the proceedings will be mailed. ACCOMMODATIONS Hotel reservations will be made for you as indicated on the registration form. Payment can be made at arrival or departure of the hotel (depends on the hotel policy). All hotels are in central Nijmegen and within a ten minute bus ride from the University. The Foundation for Neural Networks and the Conference Organizing bureau cannot be held responsible for hotel reservations and related costs. DISCLAIMER The organisation is not responsible for the contents of the presentations or the information supplied by the stands. The organisation cannot be held liable for any personal accident or damage to the private property of participants during the conference. In unforeseen circumstances, the organisation reserves the right to change the program. ///////////////////////////////////////////////////////////////////////////// REGISTRATION FORM Send this registration form to: University of Nijmegen Conference organization bureau POBox 9111 6500 HN Nijmegen, The Netherlands tel: +31 80 615968 or 612184 fax: +31 80 567956 Name: ...............................................................Mr/Mrs Affiliation: .............................................................. Address: .................................................................. Zipcode/City: ............................................................. Country: .................................................................. Conference Registration () I will participate at the SNN symposium Amount () industrial registration 2 days Hfl 450,= () industrial registration 1 day: 14/15 september*) Hfl 300,= () academic registration 2 days Hfl 300,= () academic registration 1 day: 14/15 september*) Hfl 200,= () student registration Hfl 150,= *) please strike what is not applicable () Bank transfer has been made (free of bank charges) to SNN conferences, Credit Lyonnais Nederland NV Nijmegen, on bank account number 637984838, swift code CRLIJNL2RS. Amount: ..................................... () Charge my credit card for the amount of ....................... () VISA () Master Card () America Express Card no.: Expiration date: Signature: () Please make hotel reservations in my name: Date of arrival: Date of departure: Single/double room (strike what is not applicable) single double (prices per night) () Hotel Mercure 145.00 165.00 () Hotel Apollo 90.00 120.00 () Hotel Catharina 57.50 115.00 () Hotel Catharina 43.50 87.00 (without shower and toilet) ///////////////////////////////////////////////////////////////////////////// For enquiries, please contact: Prof.dr. C. Gielen, Dr. H. Kappen, Mrs. E. Burg Foundation for Neural Networks (SNN) University of Nijmegen PObox 9101 6500 HB Nijmegen, The Netherlands tel: +31 80 614245 fax: +31 80 541435 email: snn@mbfys.kun.nl More information on both the industrial and the scientific track can be found on WWW http://www.mbfys.kun.nl/SNN/Symposium/ Best regards, Wim Wiegerinck From richardc@sedal.su.oz.au Fri Aug 4 09:31:28 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 4 Aug 95 09:31:25 -0500; AA02208 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 4 Aug 95 09:31:22 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25186; 4 Aug 95 2:48:51 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25184; 4 Aug 95 2:36:25 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa06913; 4 Aug 95 2:36:20 EDT Return-Path: Date: Fri, 4 Aug 1995 16:31:24 +1000 From: Richard Coggins Message-Id: <199508040631.QAA04568@sedal.sedal.su.OZ.AU> To: Connectionists@cs.cmu.edu Subject: Position announcement at Sydney University Systems Engineering and Design Automation Laboratory Sydney University Electrical Engineering RENEWABLE Research Engineer Time Series Prediction and Signal Compression Applications are invited for the position of Research Engineer with the Systems Engineering and Design Automation Laboratory (SEDAL) at the University of Sydney. SEDAL has a number of collaborative projects in the area of time series forecasting and signal compression spanning the applications of financial forecasting, electricity load forecasting and heart signal recoginition and compression. The applicant will be expected to contribute to these projects by developing novel forecasting and coding software models based on neural networks and other statistical techniques. The project collaborators include a major international bank, a major utility supplier and a world leader in implantable cardiac pacemakers. For appointment at HEO Level 6 applicant must have a Degree in Electrial Engineering or Mathematics as well as knowledge and experience of C programming (preferably in a Unix environment), time series forecasting and/or source coding. The successful candidate will be encourged to enrol in an area of one of these disciplines if applicable. For appointment at Level 7, applicants must in additon to the above, have extensive experience in the area of Neural Computing, Information Theory or Statistics or in the design of signal processing systems and their implementation in either software or hardware. Experience in development and implementation of data compression systems, and the ability to supervise final year students and junior research staff also is essential. Experience in integrated circuit design and/or biomedical signal processing and masters degree or higher in Neural Computing, Information Theory or Statistics are desirable. The position is available for an initial period of one and a half years and is renewable up to a further 3 years subject to progress and funding. Applicants must be able to take up the position within 2 months of receiving an offer. Salary: Higher Education Officer Level 6, $34,026 to $36,842 depending on experience. Higher Education Officer Level 7, $37,546 to $41,065 depending on experience and qualifications. Closing Date: 31st August, 1995. Reference Number: B29/10 For further information please contact: Dr. Marwan Jabri Tel: +61 2 351 2240 Fax: +61 2 660 1228 Email: marwan@sedal.su.oz.au From JCONNOR@lbs.lon.ac.uk Fri Aug 4 20:34:23 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 4 Aug 95 20:34:20 -0500; AA08422 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 4 Aug 95 20:34:17 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26074; 4 Aug 95 16:43:11 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26072; 4 Aug 95 16:29:03 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07621; 4 Aug 95 16:28:52 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id al19561; 4 Aug 95 15:55:48 EDT Received: from pluto.lbs.lon.ac.uk by EDRC.CMU.EDU id aa10549; 4 Aug 95 14:25:32 EDT Received: from charon.lbs.lon.ac.uk (charon.lbs.lon.ac.uk [163.119.254.8]) by pluto.lbs.lon.ac.uk (8.6.9/8.6.9) with SMTP id TAA29503 for ; Fri, 4 Aug 1995 19:42:25 +0100 Received: From TERRA/WORKQUEUE by charon.lbs.lon.ac.uk via Charon-4.0A-VROOM with IPX id 100.950804192035.384; 04 Aug 95 19:21:14 -0100 Message-Id: From: Jerry Connor Organization: London Business School To: connectionists@cs.cmu.edu Date: Fri, 4 Aug 1995 19:21:38 BST Subject: NNCM-95 PRELIMINARY PROGRAMME X-Confirm-Reading-To: "Jerry Connor" X-Pmrqc: 1 Priority: normal X-Mailer: Pegasus Mail v3.22 NNCM 95 - PRELIMINARY PROGRAMME October 11, 12, and 13 1995 WWW site http://www.lbs.lon.ac.uk/desci/nncm.htm This years' Neural Networks in the Capital Markets Conference will be held in two parts. The Tutorials day offers two tracks. The Finance track is a series of 2 two-hour sessions designed to give engineers, mathematicians, and neural network practitioners an overview of the financial markets, pricing models for derivative securities, and the dynamics of price behaviour in high frequency markets. The Statistics & Neural Networks track is a series of 2 two-hour sessions designed to give finance professionals an overview of nonlinear techniques and mathematics that can be applied to data analysis, predictive modelling and analysis of financial markets. It will be held at London Business School, Sussex Place, London NW1 4SA on Wednesday 11 October. The Main conference will offer eight plenary sessions with invited speakers and original research contributions on Derivative & Term structure models, Equity & Commodity models, Foreign Exchange, Corporate Distress & Risk Models, Macroeconomic & Retail Finance applications, and two sessions on Advances in Methodology. Overall, the Main conference includes over 50 oral and poster paper presentations. It will be held on Thursday and Friday October 12 - 13 at the Langham Hilton, 1 Portland Place, London W1N 4JA, which is a short walk from London Business School. TUTORIAL SESSIONS, Wednesday, October 11, 1995 08:30 - 10:30 Finance Tutorial I "Pricing Models for Derivative Securities" Prof. Stewart Hodges Warwick University, Warwick 11.00 - 13.00 Finance Tutorial II "Price Behavior and Models for High Frequency Data in Finance" Dr. Michel Dacorogna Olsen & Associates 14.00 - 16.00 Statistics & Neural Nets Tutorial I "Statistical Inference & Nonparametric Models: Linear Lessons about Nonlinear Prediction" Prof. Leo Breiman University of California, Berkeley 16.30 - 18.30 Statistics & Neural Nets Tutorial II "Neural Networks for Time Series and Trading" Prof. Andreas Weigend University of Colorado, Boulder MAIN CONFERENCE, THURSDAY, October 12, 1995 08.30- 10.30 Oral Presentations Derivative & Term Structure Models I Invited speaker: "Option Pricing and Artificial Neural Networks", Prof. Hal White, USCD 11.00 - 13.00 Oral Presentations Corporate Distress & Risk Models 13.00 - 15.00 Lunch & Poster Sessions 15.00 - 17.00 Oral Presentations Foreign Exchange Invited Speaker (to be confirmed) "High Frequency Data in Financial Models, Issues & Applications" Prof. Charles Goodhart, LSE 17.30 - 19.30 Oral Presentations Macroeconomics & Retail Finance MAIN CONFERENCE, FRIDAY, October 13, 1995 08.30 - 10.30 Oral Presentations Derivative & Term Structure Models II Invited speaker: "Validation of Volatility Models" Prof. Yaser Abu-Mostafa, Caltech 11.00 - 13.00 Oral Presentations Advances in Methodology I 13.00 -15.00 Lunch & Poster Sessions 15.00 - 17.00 Oral Presentations Equities & Commodities Invited speaker: "Towards Minimal Risk: Model Selection Strategies for Time Series Prediction and Trading Strategies" Prof. John Moody, Oregon Graduate Institute 17.30 - 19.30 Oral Presentations Advances in Methodology II ACCEPTED PAPERS DERIVATIVE AND TERM STRUCTURE MODELS Neural Networks for Contingent Claim Pricing via the Galerkin Method E. Barucci Futures Trading Using Artificial Neural Networks H. Pi, & T. Rognavldsson Modelling the Term Structure of Interbank Interest Rates B. Dasgupta, & D. Wood Modelling Non-Linear Cointegration in European Equity Index Futures A. N. Burgess Neural Network Pricing of All Ordinaries SPI Options on Futures P. Lajbcygier A Comparative Study of Forecasting Models for Foreign Exchange Rates Using ANN and Option Prices G. S. Maddala,M. Qi Neural Networks in Derivative Securities Pricing Forecasting in Brazillian Capital Markets L. A. R Gaspar,& G. Lacitermacher Statistical Yield Curve Arbitrage in Eurodollar Futures using Neural Networks A. N. Burgess EQUITIES AND COMMODITIES The Use of Neural Networks For Property Investment Forecasting G. Clarke The Predictability of Security Returns with Simple Technical Trading Rules R. Gencay On-Line Learning for Multi-Layered Neural Network: Application to S&P- 500 Prediction C. E. Pedreira Applying Neural Networks in Copper Trading: A Technical Analysis Simulation C. Naylor The Predictability of Stock Returns with Local Versus Global Nonparametric Estimators R. Gencay A 'World' Model of Integrated Financial Markets Using Artificial Neural Networks T. Poddig Stock Price Prediction Using an Integrated pattern Recognition Paradigm D. H Kil Applications of Artificial Neural Networks in Emerging Financial Markets C. Siriopoulos Stock Selection Using Recon G. H. John, P. Miller, & R. Kerber An Embedded Fuzzy Knowledge Base for Technical Analysis of Stocks K. P. Lam Stock Price Predictions by Recurrent Multilayer Neural Network Architectures D. F. Bassi Equity Forecasting: A Case Study in the KLSE Index J. Yao Use of Neural Networks and Expert/Knowledgebase Systems for Stock Market Analysis, Prediction and Trading A. Chartzaniotis Applying Neural Networks in Copper Trading: Weekly Transaction ANN Model with a Linear Filter C. Naylor Short Term Forecasts of Financial Time Series Using Artificial Neural Networks S. Avouyi-Dovi FOREIGN EXCHANGE An Artificial Neural Network Based Trade Forecasting System for Capital Markets B G Flower Applying Neural Networks to Currency Trading - A Case Study C. Lee Exchange Rate Forecasting Comparison: Neural Networks, Symbolic Machine Learning and Linear Models E. Steurer Identification of FX Arbitrage Opportunities with a Non-Linear Multivariate Kalman Filter P. J. Bolland & J. T. Connor Predicting Returns on Canadian Exchange Rates with Artificial Neural Networks and EGARCH-M Models A. Episcopos Genetic Programming of Fuzzy Logic Production Rules with Application to Financial Trading A. Edmonds Forecasting Foreign Exchange Rates: Bayesian Model Comparison and Non-Gaussian Distributions S. Butlin,& J. T.Connor Short-term FX Market Analysis and Prediction H. Beran CORPORATE DISTRESS AND RISK MODELS Neural Networks in Corporate Failure Prediction : The UK Experience Y. Alici Corporate Distress Diagnosis - An International Comparison M. Kerling Assessing Financial Distress With Probabilistic Neural Networks E.Tyree, & J.A.Long Connectivity & Financial Network Shutdown L. Eisenberg MACRO-ECONOMICS AND RETAIL FINANCE Minimising the Cost of Money in Branch Offices F. Avila Exploratory Data Analysis by the Self-Organizing Map: Structures of Welfare and Poverty in the World S. Kaski, T. Kohonen Commercial Mortgage Default: A Comparison of the Proportional Hazard Modl with Artificial Neural Networks A. Episcopos Empirical Regularities and The Forecasting of Industrial production C. Hafke Loan Risk Analysis Using Neural Networks A. N. Burgess ADVANCES IN METHODOLOGY Clearning A. S. Weigend, & H-G. Zimmermann Ordinal Models for Neural Networks M. Mathieson R/S Analysis and Hurst Exponents: A Critique J. Moody, & L. Wu Combination of Buffered Back-Propagation And RPCL-CLP By Mixture of Experts Model for Foreign Exchange Rate Forecasting L. Xu, Y.M. Cheung, & W. M Leung Prediction with Robustness Towards Outliers, Trends, and Level Shifts J. T. Connor , D. Martin, & A. Bruce Avoiding overfitting by locally matching the noise level of the data A. S. Weigend, M. Mangeas Trading Using Committees J. Moody, S. Rehfuss, L. Wu Reliable Neural Network Predictions in the Presence of Outliers and Non-Constant Variances D. Ormoneit An Analysis of Stops and Profit Objectives in Trading Systems A. Atiya The Meaning of the Mean C. Hafke An Interval Neural Network Architecture for Time Series Prediction M. Fialho, & C.E.Pedreira REGISTRATION To register, complete the registration form and mail to the sec- retariat. Please note that attendance is limited and will be allocated on a "first-come, first-served" basis. SECRETARIAT: For further information, please contact the NNCM-95 secretariat: Ms Busola Oguntula, London Business School Sussex Place, Regent's Park, London NW1 4SA, UK e-mail: boguntula@lbs.lon.ac.uk phone (+44) (0171) 262 50 50 fax (+44) (0171) 724 78 75 LOCATION: The main conference will be held at The Langham Hilton, which is situated near Regent's Park and is a short walk from Baker Street Underground Station. Further directions including a map will be sent to all registries. PROGRAMME COMMITEE Dr A. Refenes, London Business School (Chairman) Dr Y. Abu-Mostafa, Caltech Dr A. Atiya, Cairo University Dr N. Biggs, London School of Economics Dr D. Bunn, London Business School Dr M. Jabri, University of Sydney Dr B. LeBaron, University of Wisconsin Dr A. Lo, MIT Sloan School Dr J. Moody, Oregon Graduate Institute Dr C. Pedreira, Catholic University PUC-Rio Dr M. Steiner, Universitaet Munster Dr A. Timermann, University of California, San Diego Dr A. Weigend, University of Colorado Dr H. White, University of California, San Diego HOTEL ACCOMMODATION: Convenient hotels include: The Langham Hilton 1 Portland Place London W1N 4JA Tel: (+44) (0171) 636 10 00 Fax: (+44) (0171) 323 23 40 Sherlock Holmes Hotel 108 Baker Street, London NW1 1LB Tel: (+44) (0171) 486 61 61 Fax: (+44) (0171) 486 08 84 The White House Hotel Albany St., Regent's Park, London NW1 Tel: (+44) (0171) 387 12 00 Fax: (+44) (0171) 388 00 91 --------------------------REGISTRATION FORM -------------------------- -- NNCM-95 Registration Form Third International Conference on Neural Networks in the Capital Markets October 12-13 1995 Name:____________________________________________________ Affiliation:_____________________________________________ Mailing Address: ________________________________________ _________________________________________________________ Telephone:_______________________________________________ ****Please circle the applicable fees and write the total below**** Main Conference (October 12-13): (British Pounds) Registration fee 450 Discounted fee for academicians 250 (letter on university letterhead required) Discounted fee for full-time students 100 (letter from registrar or faculty advisor required) Tutorials (October 11): You must be registered for the main conference in order to register for the tutorials. (British Pounds) Morning Session Only 100 Afternoon Session Only 100 Both Sessions 150 Full-time students 50 (letter from registrar or faculty advisor required) TOTAL: _________ Payment may be made by: (please tick) ____ Check payable to London Business School ____ VISA ____Access ____American Express Card Number:___________________________________ From terry@salk.edu Sat Aug 5 07:18:08 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 5 Aug 95 07:18:06 -0500; AA11270 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 5 Aug 95 07:18:03 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab26816; 5 Aug 95 4:35:25 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab26814; 5 Aug 95 4:20:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa08402; 5 Aug 95 4:20:16 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa23206; 4 Aug 95 19:11:44 EDT Received: from helmholtz.salk.edu by CS.CMU.EDU id aa10782; 4 Aug 95 19:11:18 EDT Received: by salk.edu (4.1/SMI-4.1) id AA23955; Fri, 4 Aug 95 16:11:14 PDT Date: Fri, 4 Aug 95 16:11:14 PDT From: Terry Sejnowski Message-Id: <9508042311.AA23955@salk.edu> To: connectionists@cs.cmu.edu Subject: Neural Net Job in San Diego From: Janice Holstein Status: R Pam Surko at SAIC is looking for a full-time neural net programmer to start as soon as possible, preferably a bachelor or master's level person with a good practical knowledge of neural nets and a nose for data analysis, with their feet on the ground, who would be happy solving very applied problems. The candidate should be smart and creative, and able to communicate with customers on occasion. The group works in UNIX land, Sun and HP, and mostly do their own system administration, so the successful candidate would have to be a mid-level UNIX guru. Candidates can email Pam ascii or postscript resumes or snail mail or sneaker express paper to Dr. Pamela Surko Science Applications Int'l Corporation Pamela.T.Surko@cpmx.saic.com 10260 Campus Pt. Dr., M/S C2 619-546-6386 San Diego, CA 92121 619-546-6360 FAX USA Janice From piuri@elet.polimi.it Sat Aug 5 14:00:18 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 5 Aug 95 14:00:14 -0500; AA13714 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 5 Aug 95 14:00:10 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26816; 5 Aug 95 4:33:14 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26814; 5 Aug 95 4:20:28 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa08397; 5 Aug 95 4:20:04 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa22874; 4 Aug 95 18:47:47 EDT Received: from ipmel2.elet.polimi.it by RI.CMU.EDU id aa21870; 4 Aug 95 18:46:42 EDT Received: by ipmel2.elet.polimi.it (5.65/DEC-Ultrix/4.3A) id AA27079; Sat, 5 Aug 1995 00:43:08 +0100 Date: Sat, 5 Aug 1995 00:43:08 +0100 From: Vincenzo Piuri Message-Id: <9508042343.AA27079@ipmel2.elet.polimi.it> To: connectionists@cs.cmu.edu Subject: call for papers ================================================================ ISCAS'96 IEEE International Symposium on Circuits and Systems Atlanta, Georgia, USA - May 12-15, 1996 ================================================================ Call for Papers for the Special Session on "Neural Technologies for Prediction, Identification and Control" ================================================================ This special session will discuss several aspects concerning the use neural technologies for modelling complex non-linear dynamic systems. The theoretic foundation of these methodologies will be treated as the basis for system prediction, identification and control. Presentation of some real applications will allow to evaluate the effectiveness of this approach with respect to the traditional techniques. Papers are solicited on all aspects of the neural technologies concerning system identification, prediction, and control: theory, design methodologies, realizations, case studies, and applications are welcome. Perspective authors are invited to send an abstract (1-2 pages) to prof. Vincenzo Piuri (email and fax submissions are strongly encouraged) by August 31, 1995. It should contain the paper's title, the authors' names and affiliations, the contact person with complete address, phone, fax and email. Acceptance/rejection will be mailed by December 4, 1995. The final version of the paper will be due by January 15, 1996. Prof. Vincenzo Piuri Organizer of the Special Session on "Neural Technologies Prediction, Identification and Control" Department of Electronics and Information Politecnico di Milano, Italy phone +39-2-2399-3606 secretary +39-2-2399-3623 fax +39-2-2399-3411 email piuri@elet.polimi.it ================================================================