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Neuron Digest   Monday, 10 Mar 1997                Volume 97 : Issue 11

Today's Topics:
              MSc/PhD study in Cognitive Science, Edinburgh
            Parallel Simulation for Computational Neuroscience
                 Abbadingo One: DFA Learning Competition
                    CIFEr 97 Technical Program Details
                        Learning Control at SCI'97
                         NIPS*97 Call for Papers
              Postdoc in computational modelling of language
                              CFP - ISIS '97


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----------------------------------------------------------------------

Subject: MSc/PhD study in Cognitive Science, Edinburgh
From:    Centre for Cognitive Science <info@cogsci.ed.ac.uk>
Date:    Thu, 06 Mar 1997 18:39:30 +0000

                           POSTGRADUATE STUDY
                                 IN THE
                      CENTRE FOR COGNITIVE SCIENCE
                                 AT THE
                        UNIVERSITY OF EDINBURGH


      Cognitive Psychology            Neural Computation
      Computational Linguistics       Formal Logic
      Data Intensive Linguistics      Logic Programming
      Theoretical Linguistics         & Knowledge Representation

The Centre for Cognitive Science (CCS) offers a programme of
postgraduate study in cognitive science, centred on language and
cognition.  The programme leads to the degrees of MSc in Cognitive
Science and Natural Language, MPhil or PhD.

CCS is committed to research and postgraduate teaching in cognitive
science at international level.  The work of the Centre is at the heart
of Edinburgh's view of *informatics* -- the study of the structure,
behaviour, and design of computational systems, both natural and
artificial.  CCS has a well-developed system of collaboration with
departments within Informatics (Artificial Intelligence, Computer
Science) and beyond (Linguistics, Philosophy, Psychology).

The Centre's lecturers and research fellows work with over 60
postgraduates in a rich and varied intellectual and social environment.
Regular interdisciplinary research workshops, in which students actively
participate, focus on current problems in cognitive science.  Visiting
researchers contribute to a lively seminar series.  Research projects,
many of them collaborative with other European centres of excellence,
have been funded by the UK research councils ESRC, EPSRC and MRC as well
as by the European Union LRE and ESPRIT programmes in such areas as
natural language understanding and computational neuroscience.

Teaching staff: [with associated departments]

Ewan Klein  Head of Department
   linguistic theory, phonology
Chris Brew [HCRC]
   corpora, data intensive linguistics, language technology
Jo Calder [HCRC]
   grammar formalisms, computational linguistics
Matthew Crocker [ESRC Fellow]
   statistical language processing, computational psycholinguistics
Mark Ellison
   computational phonology and morphology, natural computation
Bruce Graham
   computational neuroscience, neural networks
Alexander Holt
   natural language semantics, computational linguistics
Alex Lascarides [HCRC]
   lexical and discourse processing, semantics, pragmatics
Paul Schweizer  PhD Organiser
   philosophical logic, philosophy of mind, philosophy of language
Richard Shillcock  MSc Course Organiser
   psycholinguistics, cognitive modelling, cognitive neuropsychology
Keith Stenning [HCRC]
   human memory, inference, connectionism

Associates and Fellows:

Sheila Glasbey  EPSRC Fellow
M. Louise Kelly [Linguistics]
Robert Ladd [Linguistics]
John Lee [HCRC]
Chris Mellish [Artificial Intelligence]
Jon Oberlander [HCRC]
Massimo Poesio   EPSRC Fellow
David Willshaw [MRC]

Human Communication Research Centre: The HCRC is a centre of excellence
    in the interdisciplinary study of cognition and computation in human
    communication, funded by the Economic and Social Research Council
    (UK).  Drawing together researchers from Edinburgh, Glasgow and
    Durham, HCRC focuses on the psychological aspects of real language
    processing.  HCRC shares a site with CCS, and the two contribute
    towards a joint research environment.

Studying in Edinburgh: Edinburgh contains the largest concentration of
    expertise in Artificial Intelligence and Natural Language Processing
    in Europe.  Students have access to that expertise, to Edinburgh's
    large copyright libraries, and within Cognitive Science, to a
    substantial offprint library.  The department possesses extensive
    computing facilities based on a network of Sun workstations and
    Apple Macintoshes; access to Edinburgh's concurrent supercomputer
    and other central computing services is easily arranged.

Requirements: Applicants typically have a first degree in one of the
    participating areas or an appropriate joint honours degree.

Funding: UK and EU students following the MSc and PhD courses are
    eligible to apply for studentships.  CCS will advise all students
    concerning funding possibilities.  CCS attracts studentships from a
    variety of UK and non-UK funding bodies.  Non-UK applicants with
    sufficient background may enroll as non-graduating students.

If you would like more information about the Postgraduate Programme in
Cognitive Science at the University of Edinburgh, please contact:

    Admissions
    Centre for Cognitive Science
    University of Edinburgh
    2 Buccleuch Place
    Edinburgh EH8 9LW
    UK

    Telephone: +44 131 650 4667
    Fax:       +44 131 650 6626
    Email:     info@cogsci.ed.ac.uk

    WWW:       http://www.cogsci.ed.ac.uk/

------------------------------

Subject: Parallel Simulation for Computational Neuroscience
From:    Nigel Goddard <ngoddard@psc.edu>
Date:    Thu, 06 Mar 1997 14:47:03 -0500

                           FIRST CALL

            Simulations in Computational Neuroscience

                        June 11-14, 1997                                

                Pittsburgh Supercomputing Center
                         Pittsburgh, PA


Participants in this workshop will learn to use PGENESIS, a parallel
version of the GENESIS simulator, and PNEURON (under development), a
parallel version of the NEURON simulator.  This course will be of
interest to active modelers who perceive the need for large simulations
which are beyond the effective capabilities of single-cpu workstations.

Both PGENESIS and PNEURON are suitable for large scale parallel search
of parameter space for single neuron and neuronal network models.
PGENESIS is also suitable for parallel simulation of very large
network models.  Both of these packages run on single workstations,
workstation networks, small-scale parallel computers and large
massively parallel supercomputers, providing a natural scale-up path.
For large simulations NSF funds four supercomputing centers for the
use of US-based computational scientists.

Familiarity with the non-parallel version of GENESIS or NEURON is
preferred but not required. Techniques for parallel search of
parameter space and for decomposition of network models will be two
foci of the workshop.  Participants are encouraged to bring their
models to the workshop.  Each participant is provided with an SGI Irix
workstation and accounts on PSCs advanced computing resources including
our 512-node Cray T3E.  Each day lectures will be followed by hands-on
computing sessions at which experienced instructors will be available
to assist in using PGENESIS and PNEURON, and optimizing models, 

Hotel accommodations during the workshop for researchers affiliated
with U.S. academic institutions will be paid by our NIH grant.
Complimentary breakfast and lunches also will be provided. There is no
registration fee for this workshop. All other costs incurred in
attending (travel, other meals, etc.) are the responsibility of the
individual participant.

The deadline for submitting applications is May 3, 1997. Enrollment is
limited to 20 participants. Further information and application
materials can be found at:

        http://www.psc.edu/biomed/workshops/wk-97/neural.html

Support for this workshop is from NIH under the NCRR program and
from NSF under the Computational Activities in Biology program.

------------------------------

Subject: Abbadingo One: DFA Learning Competition
From:    Barak Pearlmutter <bap@cs.unm.edu>
Date:    Thu, 06 Mar 1997 18:39:00 -0700

               Abbadingo One: DFA Learning Competition

                             Announcement
                                  &
                        Call for Participation

In order to encourage the development of better grammar induction
algorithms, the Abbadingo One competition will award at least $1,024
to the designer of the system that is most successful at discovering
the structure of random deterministic finite automata, as assessed by
a graded series of nine benchmark problems.  The competition ends on
15-Nov-1997.

This competition is being sponsored by, among others,
 * The Computer Science Department at the University of New Mexico,
   which is providing computational support.
 * The Kluwer Academic journal "Machine Learning," which will give
   priority treatment to a paper describing the award winning algorithm.
 * The Santa Fe Institute, which will host the award ceremony.
 * The "Journal of Artificial Intelligence Research."

For details retrieve http://abbadingo.cs.unm.edu/

Good luck, and may the best algorithm win!
- --
Competition     Kevin J. Lang <kevin@research.nj.nec.com>
  organizers:   Barak A. Pearlmutter <bap@cs.unm.edu>

------------------------------

Subject: CIFEr 97 Technical Program Details
From:    Payman Arabshahi <payman@u.washington.edu>
Date:    Fri, 07 Mar 1997 00:11:15 -0800

                           TECHNICAL PROGRAM

  IEEE/IAFE Computational Intelligence in Financial Engineering Conference
                                CIFEr'97

                           March 23-25, 1997
                  Crowne Plaza Manhattan, New York City

                    http://www.ieee.org/nnc/cifer97


Registration information:

Barbara Klemm  
CIFEr'97 Secretariat
Meeting Management
2603 Main Street, Suite # 690
Irvine, California 92714

Tel: (714) 752-8205 or
     (800) 321-6338
Fax: (714) 752-7444
Email: Meetingmgt@aol.com


    -------------------------------------------------------

    Technical Program

    -------------------------------------------------------

    Oral Presentations

    Monday, March 24, 1997

    -------------------------------------------------------

    1 - Derivatives Pricing I

    8:30a   A Nonparametric Approach to Pricing and Hedging
            Derivative Securities Via Genetic Regression
    J. Trigueros

    9:00a   High Performance Algorithms for Lattice-based
            Deriative Pricing Models
    W. Li, D. Chen

    9:30a   Numerical Options Models Without Programming
    C. Randall, E. Kant

    2 - Risk Management

    8:30a   A Distributed Enterprise Risk Management Architecture
    M. Schaller, A. Vaz

    9:00a   Managing Options Risk with Genetic Algorithms
    L. Vacca

    9:30a   Asset and Liability Management: A Stochastic Model
            for Portfolio Selection
    A. Puelz

    3 - Price Prediction I

    8:30a   A Neural Network that Explains as Well as
            Predicts Financial Market Behavior
    C. Ornes, J. Sklansky

    9:00a   Neurofuzzy Characterization of Financial Times
            Series in an Anticipatory Framework
    K. Pantazopoulos, L. Tsoukalas, E. Houstis

    9:30a   Neural Network Training Techniques for a Gold
            Trading Model
    E. Brauner, J. Dayhoff, X. Sun

    4 - Data Filtering & Mining I

    10:30a  Optimization as a Tool in Finance
    R. Dembo, D. Jensen, D. Rosen

    11:00a  INFFC Data Analysis: Lower Bounds and Testbed
            Design Recommendations
    R. Drossu, Z. Obradovic

    11:30a  Measuring Predictability Using Multiresolution Embedding
    T. McCabe, A. Weigend

    5 - Review Papers

    10:30a  Neural Networks and Forecasting: "Orthodox"
            Methods and New Research
    B. Curry, P. Morgan, M. Beynon

    11:00a  Model Selection Via Encompassing Test: Neural
            Networks vs. Trading Rules
    S. Joshi, A. Guez, T. Chiang

    11:30a  Neural Networks Compared to Statistical Techniques
    R. Richardson

    6 - Forecasting Macroeconomic Data

    10:30a  Forecasting the Economic Cycles Based on an
            Extension of the Holt-Winters Model. A Genetic
            Algorithms Approach
    A. Agapie

    11:00a  Simulation and Forecasting of International
            Trade Dynamics Using Non-Linear Mathematical
            Models and Fuzzy Logic Techniques
    O. Castillo, P. Melin

    11:30a  Computational Modeling of 1994 A. M. Best Life
            /Health Insurer Ratings
    G. Sabot

    7 - New Dimensions in Data Mining

    3:00 - 4:00pm Panel Session
    Moderator: S. Leven

    8 - Information Extraction &
    Equilibrium

    3:00p   Natural Language Processing and Information
            Extraction: Qualitative Analysis of Financial
            New Articles
    M. Constantino, R. Morgan, R. Collingham,
    R. Garigliano

    3:30p   Speculative Trades and Financial Regulations:
            Stimulations Based on Genetic Programming
    S.-H. Chen, C.-H. Yeh

    4:00p   A New Approach to Counting Nash Equilibria
    J. Rojas

    9 - Time Series Modeling

    3:00p   Fuzzy Weighted Local Approximation for Financial
            Time Series Modelling and Forecasting
    P. Pelizzari, C. Pizzi

    3:30p   New Models for Irregularly Spaced Time Series
            Analysis with Applications to High Frequency
            Financial Data
    W. Vechiato

    4:00p   What is the "True Price?" - State Space Models for
            High Frequency FX Data
    J. Moody, L. Wu

    -------------------------------------------------------

    Oral Presentations

    Tuesday, March 25, 1997

    -------------------------------------------------------

    10 - Technology and Financial
    Markets in the 21st Century

    8:15 - 9:45a  Panel Session
    Moderator: T. Rubinson

    11 - Derivatives Pricing II

    10:30a  Tax-Adjusted Pricing Algorithms for Derivative
            Securities Using a Symbolic Computational Language
    M. Milevsky, E. Prisman

    11:00a  Foreign Exchange Option Symmetry Based on
            Domestic-Foreign Payoff
    V. Kholodnyi, J. Price

    11:30a  Skewness and Kurtosis in Pricing European and
            American Options
    A. Paulson, J. Scacchia, D. Goldenberg

    12 - Volatility Prediction

    10:30a  Artificial Neural Networks for Volatility Models
    E. Capobianco

    11:00a  The Use of Artificial Neural Networks in Estimating
            Implied Volatility Values
    M. Blouna, P. Frangoulis

    11:30a  Volatility Estimation with a Neural Network
    B. Freisleben, K. Ripper

    13 - Price Prediction II

    1:15p   High Frequency Time Series Analysis and Prediction
            Using Markov Models
    C. Papageorgiou

    1:45p   Financial Simulation System Using Higher Order
            Trigonometric Polynomial Neural Network Group Model
    J. C. Zhang, M. Zhang

    2:15    A Relevance Measure of Ranked Market Information
            as a Stock Return Indicator
    F. G. Miranda

    14 - Foreign Exchange Forecasting

    1:15p   The Recent Discoveries in Cluster Analysis on
            Foreign Exchanges
    W. Leung, L. Xu

    1:45p   Supervised Learning Decision Networks for Traders
            and Portfolios
    L. Xu, Y. Cheung

    2:15p   Foreign Exchange Market Forecasting Using
            Evolutionary Fuzzy Networks
    A. Muhhamad, G. A. King

    15 - Data Filtering and Mining II

    3:15p   CARDWATCH: A Neural Network based Database
            Mining System for Credit Card Fraud Detection
    E. Aleskerov, B. Freisleben, B. Rao

    3:45p   Algorithms for Filtering Market Price Data
    H. Green

    4:15p   Mortgage Data Mining
    G. John, Y. Zhao, K. Winkler

    16 - Time Series Topics

    3:15p   Model Identification and Parameter Estimation
            of ARMA Models by Means of Evolutionary Algorithms
    S. Rolf, J. Sprave, W. Urfer

    3:45p   Taking Time Seriously: Hidden Markov Experts
            Applied to Financial Engineering
    S. Shi, A. Weigend

    4:15p   Rule Inference for Financial Prediction
            Using Recurrent Neural Networks
    S. Lawrence, C. L. Giles, A. C. Tsoi

    -------------------------------------------------------

    Poster Presentations

    Monday, March 24

    Deriative Portfolio Risk Management Using a
    Value-at-Risk Framework
            R. Carandang

    Modeling and Persistent Volatility of Asset Returns
            N. Crato, P. de Lima

    The Effect of Inconsistent Differences in Financial
    Ratio Trends on Model Reliability
            Z. Yang, H. James

    Modeling Volatility Derivatives Using Neural Networks
            O. Karaali, W. Edelberg, J. Higgins

    Tuesday, March 25

    Detecting Non-Linear Dynamics in Financial Time Series
            C. Schittenkopf, G. Deco

    Volatility Estimators for FOREX Futures Using
     Standardized Time Series
            J. Dalle Molle

    Optimization of Trading Systems and Portfolios
            J. Moody, L. Wu


------------------------------

Subject: Learning Control at SCI'97
From:    Karl Mathia <kmathia@gotham.accurate-automation.com>
Date:    Fri, 07 Mar 1997 17:09:23 -0500


                           LAST Call for Papers:

                   SPECIAL SESSION ON LEARNING CONTROL
                   -----------------------------------

                                at the

                        WORLD MULTICONFERENCE ON
             SYSTEMICS, CYBERNETICS AND INFORMATICS (SCI'97)
                            Caracas, Venezuela
                              July 7-11, 1997

           (Extended Deadline for Abstracts: March 31, 1997)

***********************************************************************


LEARNING CONTROL
- ----------------
"Learning Control" is a term attributed to a broad class of self-tuning
processes,  where the performance of the controlled system with respect
to a particular task is self-improved based on the performance for
previous identical tasks.  The idea of self-learning control systems is
aesthetically appealing and represents a fundamental step towards fully
autonomous systems. This is of advantage when dealing with uncertain or
changing systems.

The major difference between adaptive and learning control is sometimes
characterized in terms of 'local' and 'global' learning.  An adaptive
systems continuously adapts to changes in environment and system para-
meters (local),  whereas a learning systems memorizes and recognizes
previously experienced situations (global).  The classification of
learning control will be one of many topics at this SCI'97 session. We
invite you to present your recent research results, learn about current
avenues in the field, and to meet interesting people.

We look for quality papers which cover the topics outlined below.
Similar work is also welcome.


OVERVIEW OF SCI'97
- ------------------
SCI'97 is a truly multi-disciplinary conference, covering intelligent
computing, information theory,  cybernetics,  social and biological
systems, psychology, and applications.  General information about the
conference is listed below or can be found at the website

  http://www.iiis.org/

SCI'97 is an ideal platform for a special session on "Learning Control",
an emerging discipline which is receiving more and more attention from
both the academic and industrial controls community, due to the increasing
complexity of (technical) systems.


TOPICS
- ------
The Learning Control Session will include, but is not limited, to the
following topics (further suggestions are encouraged):

     * Classification of learning control systems.

     * Mathematical learning theory in a controls context.

     * Biological or social self-learning control mechanisms and
       their extension to technical systems.

     * Human operator modeling.
       Human operators are (currently) the ultimate learning controller
       for complex systems.

     * Neurocontrol, using biological or artificial neural networks.

     * Fuzzy logic and learning.

     * Optimal Control type learning algorithms (adaptive critics,
       Q-learning, etc.).

     * Variable structure learning of controllers and its
       variants, e.g. reconfigurable and reparameterizable controllers.

     * Stability of learning control systems (important!).

     * Hardware implementations.

     * Applications and case studies which exceed the usual benchmark
       problems towards real-world complex systems.

Questions about, or contributions to this special session can be
e-mailed to Karl Mathia at

  karl@mathia.com
or
  kmathia@accurate-automation.com


PAPER SUBMISSION
- ----------------
Please mail three (3) hardcopies of your abstract or draft (1-2 pages)
to:

  Dr. Karl Mathia
  Accurate Automation Corporation
  7001 Shallowford Road                 Phone: (423) 894-4646
  Chattanooga, TN 37421                 Fax:   (423) 894-4645
  USA

Full-size papers (max. 8 pages, single spaced) are be submitted by
authors after the notification of acceptance.
Please note the extended deadline for camera-ready papers: May 12, 1997.

DEADLINES
- ---------
March 15, 1997    Submission of 1-2 page abstracts or drafts.
March 31, 1997    Acceptance notifications.
May 1,    1997    Submission of camera ready papers (max. 8 pages,
                  single spaced).

***********************************************************************


------------------------------

Subject: NIPS*97 Call for Papers
From:    Michael Jordan <jordan@psyche.mit.edu>
Date:    Sat, 08 Mar 1997 10:12:24 -0500



                        CALL FOR PAPERS -- NIPS*97

         Neural Information Processing Systems -- Natural and Synthetic 
                  Monday December 1 - Saturday December 6, 1997
                              Denver, Colorado


This is the eleventh meeting of an interdisciplinary conference which brings
together cognitive scientists, computer scientists, engineers, neuroscientists,
physicists, and mathematicians interested in all aspects of neural processing
and computation.  The conference will include invited talks and oral and
poster presentations of refereed papers.  The conference is single track
and is highly selective.  Preceding the main session, there will be one day
of tutorial presentations (Dec. 1), and following will be two days of
focused workshops on topical issues at a nearby ski area (Dec. 5-6).  Major
categories for paper submission, with example subcategories (by no means
exhaustive), are as follows:


Algorithms and Architectures: supervised and unsupervised learning
algorithms, model selection algorithms, feedforward and recurrent network
architectures, localized basis functions, online learning algorithms,
active learning algorithms, algorithms for combining classifiers, belief
networks, combinatorial optimization.

Applications: handwriting recognition, DNA and protein sequence analysis,
expert systems, fault diagnosis, financial analysis, medical diagnosis,
music processing, time-series prediction.

Artificial Intelligence: inductive reasoning, problem solving and planning,
natural language understanding, hybrid symbolic-subsymbolic systems.

Cognitive Science: perception and psychophysics, development, neuropsychology,
cognitive neuroscience, language, human learning and memory, attention.

Implementation: analog and digital VLSI, optical neurocomputing systems,
novel neuro-devices, simulation tools, parallelism.

Neuroscience: functional imaging, systems physiology, neural coding, synchrony,
synaptic plasticity, neuromodulation, dendritic computation, calcium dynamics,
inhibition, computational models.

Reinforcement Learning and Control: exploration, dynamic programming,
planning, navigation, robotic motor control, process control, Markov
decision processes.

Speech and Signal Processing: speech recognition, speech coding, speech
synthesis, rapid adaptation, robust processing, auditory scene analysis,
models of human speech perception.

Theory: computational learning theory, statistical mechanics of learning,
dynamics of learning algorithms, learning of dynamical systems, approximation
and estimation theory, combining predictors, model selection, complexity
theory.

Visual Processing:  image processing, image coding and classification, object
recognition, stereopsis, motion detection and tracking, visual psychophysics.


Review Criteria:  All submitted papers will be thoroughly refereed on the
basis of technical quality, significance, and clarity.  Novelty of the work
is also a strong consideration in paper selection, but to encourage
interdisciplinary contributions, we will consider work which has been
submitted or presented in part elsewhere, if it is unlikely to have been seen
by the NIPS audience.  Authors should not be dissuaded from submitting recent
work, as there will be an opportunity after the meeting to revise accepted
manuscripts before submitting final camera-ready copy.


Paper Format:  Submitted papers may be up to seven pages in length, including
figures and references, using a font no smaller than 10 point.  Submissions
failing to follow these guidelines will not be considered.  Authors are
encouraged to use the NIPS LaTeX style files obtainable by anonymous FTP at 
the site given below.  Papers must indicate (1) physical and e-mail addresses 
of all authors; (2) one of the nine major categories listed above, and, if
desired, a subcategory; (3) if the work, or any substantial part thereof, has
been submitted to or has appeared in other scientific conferences; (4) the 
authors' preference, if any, for oral or poster presentation (this preference 
will play no role in paper acceptance); and (5) author to whom correspondence 
should be addressed.


Submission Instructions:  Send eight copies of submitted papers to the address
below; electronic or FAX submission is not acceptable.  Include one
additional copy of the abstract only, to be used for preparation of the
abstracts booklet distributed at the meeting.  SUBMISSIONS MUST BE RECEIVED
BY MAY 23, 1997.  From within the U.S., submissions will be accepted if mailed
first class and postmarked by May 20, 1997.


Mail submissions to:

   Michael Kearns
   NIPS*97 Program Chair
   AT&T Laboratories Research
   Room 2A-423
   600 Mountain Avenue
   Murray Hill, NJ 07974-0636 USA


Mail general inquiries and requests for registration material to:

   NIPS*97 Registration 
   Conference Consulting Associates 
   451 N. Sycamore
   Monticello, IA  52310

   fax: (319) 465-6709  (attn: Denise Prull)

   e-mail: nipsinfo@salk.edu


Copies of the LaTeX style files for NIPS are available via anonymous ftp at

   ftp.cs.cmu.edu (128.2.206.173) in /afs/cs/Web/Groups/NIPS/formatting

The style files and other conference information may also be retrieved via
World Wide Web at

   http://www.cs.cmu.edu/Web/Groups/NIPS


NIPS*97 Organizing Committee: General Chair, Michael Jordan, MIT;
Program Chair, Michael Kearns, AT&T Labs Research; Publications Chair, 
Sara Solla, Northwestern University; Tutorial Chair, Satinder Singh,
University of Colorado; Workshops Co-Chairs, Steven Nowlan, Lexicus,
and Richard Zemel, University of Arizona; Publicity Chair, Anthony Bell,
Salk Institute; Local Arrangements, Arun Jagota, University of California,
Santa Cruz; Treasurer, Bartlett Mel, University of Southern California;
Web Master, Doug Baker, Carnegie Mellon University; Government Liaison,
John Moody, OGI; Contracts, Steve Hanson, Rutgers University, Scott 
Kirkpatrick, IBM, Gerry Tesauro, IBM.  Conference arrangements by 
Conference Consulting Associates, Monticello, IA.


NIPS*97 Program Committee: Sue Becker, McMaster University; Joachim Buhmann,
University of Bonn; Tom Dietterich, Oregon State University; Michael Kearns,
AT&T Labs Research (chair); Richard Lippmann, MIT Lincoln Lab; Larry Saul,
AT&T Labs Research; Jude Shavlik, University of Wisconsin; Rich Sutton,
University of Massachusetts; Tali Tishby, Hebrew University; Michael Turmon,
Jet Propulsion Lab; Paul Viola, MIT; John Wawrzynek, UC Berkeley; Tony Zador,
Salk Institute.


            DEADLINE FOR RECEIPT OF SUBMISSIONS IS MAY 23, 1997

                            - please post -



------------------------------

Subject: Postdoc in computational modelling of language
From:    Max Coltheart <max@currawong.bhs.mq.edu.au>
Date:    Mon, 10 Mar 1997 12:13:00 +1000


> > 
> > *POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELLING OF LANGUAGE PROCESSING*
> > 
> > 
> > 
> >                             MACQUARIE UNIVERSITY
> >                        SCHOOL OF BEHAVIOURAL SCIENCES
> >                        
> >                         Research Fellow in Psychology
> >                                   Ref. 18037
> >                                   
> > The appointee will contribute to the work of an existing research 
> > group by carrying out research on computational modelling of language 
> > processing.
> > 
> > Applicants must hold or have submitted a PhD in psychology or a 
> > cognate discipline and have demonstrated expertise in computational 
> > modelling of cognitive processes.
> > 
> > All enquiries concerning the position or your application should be 
> > referred to Professor Max Coltheart on (02) 9850 8086 or email:
> > max@currawong.bhs.mq.edu.au
> > 
> > The position is available for a period of one year with the 
> > possibility of further appointment subject to the availability of 
> > funding.
> > 
> > Salary range:  Level A $30,130 to $40,889 per annum.
> > 
> > Applications, inlcuding full curriculum vitae and quoting the 
> > reference number, visa status, and the names and addresses of three 
> > referees should be forwarded to the Recruitment Manager, Personnel 
> > Office, Macquarie University, NSW 2109 by 28 March 1997.  
> > Applications will not be acknowledged unless specifically requested.
> > 
> > 
> 
> 
> -- 
> 
> 
>               max@currawong.bhs.mq.edu.au
> 
> Max Coltheart                                      Ph +61 2 9850 8086 (work)
> School of Behavioural Sciences          *             +61 2 9418 7269 (home)
> Macquarie University                  *  *            +61 2 9850 8062 (fax)
> Sydney NSW 2109 Australia               + 
>                                        *             33 43' S 150 52' 15" E

------------------------------

Subject: CFP - ISIS '97
From:    Paolo Campolucci <paolo@eealab.unian.it>
Date:    Mon, 10 Mar 1997 17:07:22 +0200

- --------------------------CALL FOR PAPERS--------------------------------
Special Session on Neural Networks for Signal Processing
- ----------------------------------------------------------------------------
ISIS'97- International Symposium on Intelligent Systems
- ----------------------------------------------------------------------------

        Signal processing problems, with their particular features and
challenges, have provided an important field of  application for artificial 
neural networks (ANNs). The non-linear processing and classification
capabilities of these networks, in fact, can be very useful in many DSP
applications. However, to provide robust, efficient and reliable NN
solutions to many real-world problems, new and original ideas should be
found to overcome nowadays limitations.
        This special session, organized within ISIS'97, wants to provide an
open forum for researchers in this field to present and discuss new and
promising results on the theory and application of artificial neural
networks for signal processing.

Papers are solicited for, but not limited to, the following topics:
>>>Paradigms: artificial neural networks, evolutionary computation,
        nonlinear signal processing, robust fitting, classification and 
        learning, statistical properties of ANNs, complexity issues.

>>>Application areas: speech processing, speech enhancement, space-time
        processing, adaptive filtering, channel equalization and 
        predistortion, robotics, system identification and control, time series 
        prediction, temporal pattern recognition.

>>>Theories: generalization, design algorithms, optimization, learning,
        neural architectures for signal processing, dynamic recurrent neural
        networks, locally recurrent neural networks, IIR synapses neural networks,
        Time Delay Neural Networks, fast learning algorithms, on-line training
        algorithms, on-line clustering, and identification/rejection of outliers.

>>>Implementations: parallel and distributed implementation, hardware
        design, other implementation technologies.

        The International Symposium on Intelligent Systems will be held in
Reggio Calabria (Italy) in the center of the Mediterranean sea, from
September 11 to September 13, 1997. This 2+1/2 days interdisciplinary
symposium aims to be an international forum for advanced studies in Neural
Networks, Fuzzy Systems and related intelligent technologies, with special
concern for analysis and synthesis of systems which have to make decisions
in an environment of uncertainty and imprecision. This Conference follows
up the series of International Symposia organized by AMSE in Istanbul
(1988), Brighton (1989), Cetinje (1990), Warsaw (1991), Geneva (1992),
London (1993), Lyon (1994), Brno (1995) and Leon (1996).

More information about the workshop is available at:
http://neurolab.ing.unirc.it/isis97.html

Papers Submission to special session:
        Papers must be received by April 15, 1997. They should include an
abstract not exceeding 100 words and should not exceed five A4 pages,
single-column format in Times Roman or similar font style, 10 points or
larger with 2.5 cm (one inch) margins on all four sides, including
figures, tables and references. All submitted manuscripts, both invited
and contributed, will be evaluated by peer reviewers to determine their
suitability for publication. Authors are encouraged to submit their work
via Air Mail or Express Courier so as to ensure timely delivery. All
submissions will be acknowledged by electronic or postal mail. Authors of
accepted papers wil= be invited to submit their final camera-ready papers
by May 31, 1997.  Five copies of the manuscript must be sent to the
address below with an accompanying letter including the following
information:

Full Title of the Paper
Technical Topics (First and Second Choices)
Corresponding Author (Name, Postal and E-Mail Addresses, Telephone and Fax
Numbers)
Presenting Author and preferred mode of presentation (Oral or Poster)
Symposium Language: English will be the official language of the Symposium.

Important dates:
 April 15, 1997 Deadline for manuscripts submitted to the special session.
 May 10, 1997 Notification to Authors.=20
 May 31, 1997 Deadline for receiving final camera-ready papers

Proceedings:
Accepted papers will be included in the Proceedings published by IOS press.
Selected papers could be published in several journals of AMSE.

All manuscripts submitted to the special session must be sent to:
Prof. Francesco Piazza
Dipart. Elettronica ed Automatica, Universita' di Ancona
via Brecce Bianche, 60131 Ancona
email: upf@eealab.unian.it (or paolo@eealab.unian.it)
TEL: +39 (71) 2204 453   or 2204 541
FAX: +39 (71) 2204 464 or 2204 835

For informations about the special session, please contact Prof. F. Piazza,
at the address above, or:
Dr. Elio D. Di Claudio
Dipart. INFO-COM, Universit=E0 di Roma "La Sapienza"
via Eudossiana 18, 00184 Roma
email dic@infocom.ing.uniroma1.it
TEL: +39 (6) 44585 837 or 44585 839
FAX: +39 (6) 4873300

For information about the symposium, please contact:
Symposium Secretariat:
ISIS'97 Secretariat=20
University of Reggio Calabria=20
Faculty of Engineering, DIEMA=20
Via E.Cuzzocrea 48, I-89127 Reggio Calabria, Italy
Phone: +39 -965 875224, Fax: +39 -965 875247
E-mail: neurolab@csiins.unirc.it
WWW: http://neurolab.ing.unirc.it/isis97.html

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