[comp.ai.neural-nets] Neuron Digest V6 #60

neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (10/12/90)

Neuron Digest   Thursday, 11 Oct 1990
                Volume 6 : Issue 60

Today's Topics:
        inquiry (Electronic/VLSI implementations of neural nets)
                 Any Neural-Net Accelerator for the PC?
           Would anyone take on a part-time research student?
                              Job openings
                         ML91 deadline extended
                          Position Announcement
                          Kohonen maps and TSP
      Workshop announcement: "NNs for Statistical & Economic Data"
               Paper on Conjugate Gradient Backpropagation
           Job announcement - postdoctoral research associate
               call for papers - 13th IMACS World Congress
               call for papers: neural nets for diagnosis


Send submissions, questions, address maintenance and requests for old issues to
"neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request"
Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).

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

Subject: inquiry (Electronic/VLSI implementations of neural nets)
From:    Francisco Castillo Cobo <castillo@eel.upc.es>
Date:    03 Oct 90 19:14:00 +0100

Hi, I want to hear from people out there who are working on actual
Electronic/VLSI implementations of neural nets. I have already seen a lot
of implementations for the Hopfield net, so I'm really interested in
seeing other types of nets, or if not, someth i ng new in these nets
(like a ckt. that incorporates the learning rules).

I am currently working on a VLSI architecture for the Backprop. algo.,
maybe we could exchange ideas. You may mail me directly at
castillo@eel.upc.es if the subject matter is not of general interest.
T.Y.

Francisco Castillo.

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

Subject: Any Neural-Net Accelerator for the PC?
From:    Ran Ginosar <ran%techvlsi.technion.ac.il@CUNYVM.CUNY.EDU>
Date:    Fri, 05 Oct 90 00:56:37 +0200

We are looking to buy an accelerator for the PC for neural network
computations. Any recommendations or suggestions as to what's available,
what to buy, or what not to buy? Please mail directly to
"ran@ee.technion.ac.il" and I will summarize the results for the net.

        - Ran Ginosar
          Technion, Israel

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

Subject: Would anyone take on a part-time research student?
From:    Andy Holyer <and@ux.rfhsm.lon.ac.uk>
Date:    Mon, 08 Oct 90 15:04:00 +0000

I have been granted the concession from my department of being able to
devote a certain amount of my time on research work (if I can get a
project going). I need currently to get some form of postgrduate
qualification (to cover up my undergraduate degree), and I would like to
start an M.Phil./Ph.D; I'd like to look at connectionism. Is there anyone
out there who would take on a part-time, external research student?
There's nobody here who even knows what a NN is, letalone being
interested in supervising.

        Any fees incurred I could *probably* be able to cover out of my
own resources. For obvious reasons my order of preference for locations
is London/S.E. England/U.K./Europe/Anywhere else :-)

        If anyone's willing to help, mail me directly and we can talk
about the things I'm interested working on.


Andy Holyer                                  and@uk.ac.lon.rfhsm.ux
Dept. of Medical Informatics and Computing,  ...!ukc!r-free!and
Royal Free Hospital School of Medicine,
Rowland Hill St. London NW3
(+44) 1 794 8673

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

Subject: Job openings
From:    Axel Cleeremans <cleeremans@TANSY.PSY.CMU.EDU> (Axel Cleeremans)
Date:    Tue, 09 Oct 90 10:54:31 -0400

The following is a job annoucement that may be of interest to the
connectionist community. Please do not reply directly to this message : I
am not affiliated in any way with any of the companies mentioned below.



            RESEARCH IN SPEECH PROCESSING - BRUSSELS (BELGIUM)


Lernout & Hauspie Speech Products, one of the fastest growing companies
in Speech Processing, has research and development openings (in the USA
and in Europe) for several M.S.'s or Ph.D.'s in Computer Science,
Electrical Engineering, or any other AI-related field. We are especially
looking for specialists in Digital Signal Processing, Artificial Neural
Networks, Microprocessors (Motorola 56000) and Computer Linguistics.
Excellent research facilities in a stimulating environment are
guaranteed.

Please send your resume to :

Jan Vandenhende
Brains Trust International
Boulevard Brand Witlock, 24
B-1200 Brussels
Belgium

Phone : 011 32 2 735 81 40
Fax   : 011 32 2 735 20 75



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

Subject: ML91 deadline extended
From:    Lawrence Birnbaum <birnbaum@fido.ils.nwu.edu>
Date:    Tue, 09 Oct 90 13:43:52 -0500


        ML91 -- THE EIGHTH INTERNATIONAL WORKSHOP ON MACHINE LEARNING
                                       
                   DEADLINE FOR WORKSHOP PROPOSALS EXTENDED


To make life a little easier, the deadline for workshop proposals for
ML91 has been extended by a few days.  The new deadline is MONDAY,
OCTOBER 15.  Please send proposals by email to:

        ml91@ils.nwu.edu

or by hardcopy to the following address:

        ML91
        Northwestern University
        The Institute for the Learning Sciences
        1890 Maple Avenue
        Evanston, IL 60201  USA

        fax (708) 491-5258

Please include the following information:

        1. Workshop topic

        2. Names, addresses, and positions of workshop committee members

        3. Brief description of topic

        4. Workshop format

        5. Justification for workshop, including assessment of breadth of
           appeal

On behalf of the organizing committee,

        Larry Birnbaum
        Gregg Collins

        Program co-chairs, ML91

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

Subject: Position Announcement
From:    Jordan B Pollack <pollack@cis.ohio-state.edu>
Date:    Tue, 09 Oct 90 16:21:34 -0400

                   Computational Neuroscience
                   The Ohio State University

For one of several open tenure-track faculty positions in Cognitive
Science, the Ohio State University is seeking a computational
neuroscientist.  The successful candidate will hold a recent Ph.D and
have a demonstrated record of research accomplishment in biologically
realistic computational modelling of nervous systems.

The Center for Cognitive Science is an interdisciplinary University-wide
research center with approximately eighty members from sixteen
departments. The faculty appointment will be in an academic department
that is appropriate to the interests and background of the candidate.
OSU is one of the largest universities in the country with significant
research resources including a Cray YMP and a PET scanner. OSU's Ph.D.
Program in Neuroscience involves some 75 faculty members from over a half
dozen colleges.  Columbus provides a high quality of life along with very
affordable housing.

To apply, please send your vita and a statement of research and teaching
interests, and arrange for three recommendation letters to be sent to:

Computational Neuroscience Search Committee
Center for Cognitive Science
208 Ohio Stadium East
1961 Tuttle Park Place
Columbus, OH 43210-1102

The Ohio State University encourages diversity in its faculty, and is an
Equal Opportunity/Affirmative Action employer.



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

Subject: Kohonen maps and TSP
From:    VASSALLO%CRESH0.CRES.IT@CUNYVM.CUNY.EDU
Date:    Wed, 10 Oct 90 12:52:00 +0000

I have implemented a C program that solves TSP using self organizing
maps.  It' s a modified version of Algenion algorithm presented on Neural
Networks Vol 1 pag. 289-293,1988.  I kindly request some "standard"
benchmarks (sets of cities coordinates) to test the program.  If somebody
request it I' ll send the source code.

                   Many thanks in advance

                             Giorgio Vassallo

                                 <VASSALLO@IPACRES.BITNET>

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

Subject: Workshop announcement: "NNs for Statistical & Economic Data"
From:    MURTAGH@SCIVAX.STSCI.EDU
Date:    Thu, 11 Oct 90 10:30:44 -0400

Workshop: "Neural Networks for Statistical and Economic Data" Place/date:
Dublin, Ireland.  December 10-11 1990.

The workshop seeks to bring together those working towards applications
of artificial neural networks, and those concerned with regularities, in
statistical and ecomomic data.  A number of invited speakers will also
review closely-related domains such as nonlinear time series analysis,
and complex questions in economics and economic statistics.  On December
10 there will be a series of tutorial and review presentations.  On
December 11 there will be both invited and contributed working papers.
Attendance at the workshop is limited, priority being given to those
presenting new results.

Sponsor: EUROSTAT/Statistical Office of the European Communities, Luxembourg.

Organization: Munotec Systems Ltd., 35 St. Helen's Road, Booterstown, Co.
Dublin, Ireland.

Information can also be requested from: F. Murtagh,
murtagh@dgaeso51.bitnet, or murtagh@scivax.stsci.edu.

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

Subject: Paper on Conjugate Gradient Backpropagation
From:    erik@adams.llnl.gov (ERIK JOHANSSON)
Date:    Tue, 02 Oct 90 17:25:24 -0700

Some time ago I wrote about our work using conjugate gradient methods to
improve backpropagation learning times.  At the time, I mentioned that I
had a paper in the works which was soon to be completed.  Unfortunately,
my work schedule did not permit me to complete it until last week.  In
any event, it is now available.  You can get a post script copy via
anonymous ftp (described below).  If this is not satisfactory, please
e-mail me a request and I will mail you a hardcopy.  The title and
abstract are included here:

      "Backpropagation Learning for Multi-Layer Feed-Forward
        Neural Networks Using the Conjugate Gradient Method"

                         E. M. Johansson
                           F. U. Dowla
                          D. M. Goodman

             Lawrence Livermore National Laboratory

Abstract --- In many applications, the number of interconnects or weights
in a neural network is so large that the learning time for the
conventional backpropagation algorithm can become excessively long.
Numerical optimization theory offers a rich and robust set of techniques
which can be applied to neural networks to improve learning rates.  In
particular, the conjugate gradient method is easily adapted to the
backpropagation learning problem.  This paper describes the conjugate
gradient method, its application to the backpropagation learning problem,
and presents results of numerical tests which compare conventional
backpropagation, steepest descent, and the conjugate gradient methods.
For the parity problem we find that the conjugate gradient method is an
order of magnitude faster than conventional backpropagation with
momentum.

Anonymous ftp instructions:

The following commands should give you a copy of the paper; if they
don't please let me know:

        ftp peabody.llnl.gov
        Name (peabody.llnl.gov:(null)): anonymous
        Password (peabody.llnl.gov:anonymous): anything
        ftp> cd neural
        ftp> bin
        ftp> get paper.Z
        ftp> quit

The password can be anything you want except a carriage return. Also,
there is no ls command available, so follow the directions exactly.

The file you receive is a post script file in compressed format. To
uncompress it, type:

        uncompress paper.Z

The resulting file will be called paper. To print it, type:

        lpr paper

or whatever the print command is for your particular post script printer.

The paper is 27 pages long.

If you have any questions or comments, please send them to me at
erik@adams.llnl.gov, erik@icdc.llnl.gov, or

        Erik M. Johansson
        Lawrence Livermore National Laboratory
        PO Box 808, L-496
        Livermore, CA 94550



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

Subject: Job announcement - postdoctoral research associate
From:    jls@computer-science.manchester.ac.uk
Date:    Thu, 04 Oct 90 09:46:09 +0100

                    POST DOCTORAL RESEARCH ASSOCIATE
                          NEURAL NETWORK THEORY
                     Department of Computer Science
                        University of Manchester

Applications are invited for a post-doctoral research position in neural
network theory in the computer science department at the University of
Manchester. This SERC funded position is concerned with developing
methods of predicting neural network performance, including
generalisation performance and functionality. The post is tenable for up
to three years, starting any time between October 1, 1990 and April 1,
1991. Salary range is between 11,399 pounds and 18,165 pounds according
to qualifications and experience.  Postgraduate experience in any
theoretical aspect of neural networks is desirable, as is demonstrated
mathematical ability.

Applications and/or informal inquiries should be sent to Jonathan
Shapiro, Department of Computer Science, The University, Manchester M13
9PL. United Kingdom. Informal inquiries can be made by phone (061 275
6253) or email (jls@uk.ac.man.cs.m1 within the U.K. and
jls%m1.cs.man.ac.uk@nsfnet-relay via internet).

The University of Manchester is the oldest and one of the largest
computer science department in Britain. Other neural network research at
Manchester includes: ex-Static - a project to build a simulator for the
design of massively parallel neural computing hardware (in collaboration
with a group at Cambridge); a collaboration between theoretical
physicists and psychologists to model memory experiments; work on image
processing applications in medical biophysics; and secondary protein
structure prediction. In addition, Manchester has been established as one
of three national Novel Architecture Computing Centers, which means that
a large collection of parallel hardware is or will be available.
 
We are an Equal Opportunities Employer

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

Subject: call for papers - 13th IMACS World Congress
From:    Khalid Choukri <choukri@capsogeti.fr>
Date:    Tue, 09 Oct 90 11:01:20 +0000


 ---------------------------------------------------------
         13th IMACS World Congress on

        Computation and Applied Mathematics  


  July 22-26,1991, Trinity college, Dublin, Ireland

            Neural Computing sessions 


   Preliminary announcement and call for papers 
 -----------------------------------------------------

In the scope of the 13th IMACS World Congress on Computation and Applied
Mathematics that will be held on July 22-26, 1991 at Trinity college,
Dublin, Ireland, several sessions will be devoted to Neural computing and
Applied Mathematics.  A typical session consists of six 20-minutes
papers.  Invited papers (tutorials ~ 1-hour) are welcome.

Contributions from all fields related to neuro-computing techniques are
welcome. Including applications to pattern recognition and
classification, optimization problems, etc.

 Information and a non-exclusive list of topics may be obtained from the
session organizer or the Congress Secretariat.

Proceedings will be available at the Congress.  A more formal
Transactions will be available at a later date.
 

Submission procedure :
 ---------------------

Authors are solicited to submit proposals consisting of an abstract (one
page, 500 words maximum) which must clearly state the specific original
results obtained and their significance.

The final paper length is two pages  (IEEE two-column format).

A first page of the proposal should contain the following information in
the order shown:

  - Title.
  - Authors' names and affiliation. 
  - Contact information (name, postal address, phone, fax and email address)
  - Domain area and key words:  one or more terms describing the problem
 domain area.

AUTHORS ARE ENCOURAGED to submit a preliminary version of the complete
paper in addition to the abstract.

Calendar:
 --------

Deadline for submission    :  December, 15, 1990
Notification of acceptance :  February , 01 ,  1991
Camera ready paper         :  March 1, 1991

 Three copies should be sent directly to the technical chairman of these
sessions at the following address:

Dr. Khalid Choukri  
Cap GEMINI Innovation
118, Rue de Tocqueville 
75017, Paris, France
Phone: (+33-1) 40 54 66 28 
Fax: (+33-1) 42 67 41 39 
e-mail choukri@csinn.uucp 
 

For further information about the IMACS Congress in general, contact 

        Post:   IMACS '91 Congress Secretariat
                26 Temple Lane
                Dublin 2
                IRELAND

        Fax:    (+353-1) 451739
        Phone:  (+353-1) 452081



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

Subject: call for papers: neural nets for diagnosis
From:    reggia@cs.UMD.EDU (James A. Reggia)
Date:    Thu, 11 Oct 90 14:54:16 -0400

[[Note: I was asked to bring the following to the attention of anyone
using neural modelling methods for diagnostic problem solving.]]

                            *CALL FOR PAPERS*
        Second International Workshop on Principles of Diagnosis
                 Milano (Italy), October 14-15-16, 1991
       Organized by CISE Tecnologie Innovative and Dipartimento di
                  Informatica of Universita` di Torino

This workshop (which follows the successful one held at Stanford
University in 1990) encourages intensive and high quality interaction and
cooperation among researchers with a diversity of artificial intelligence
approaches to diagnosis. Attendance will be limited to fifty participants
with presentations spread over three days.  Substantial time will be
reserved for discussion.

To attend, participants should submit papers (maximum 5000
words) to be reviewed by the committee. Submissions are
welcomed on (but not limited to) the following topics:

o   Theory of diagnosis (abductive vs. deductive diagnosis, isolation vs.
    identification, diagnosis on non-monotonic theories, diagnosis of
    dynamic systems,...)

o   Computational issues (controlling the combinatorial explosion, focusing
    strategies, controlling diagnostic reasoning of complex systems, ...)

o   Modeling for diagnosis (multiple, approximate, probabilistic and
    qualitative models, integrating model-based diagnosis with heuristics ....)

o   Evaluation of theories on practical applications

o   Inductive approaches to diagnosis (Case-Based Reasoning, Neural Nets, ...)

Accepted papers can be revised for inclusion in the workshop working
notes. Although work published elsewhere is acceptable, new original work
is preferred.

Please send five copies of each submission to the chairman at the postal
address below. Include several ways of contacting the principal author in
addition to a postal address: electronic mail, fax and telephone numbers
are preferred, in that order. Please indicate with your submission if you
wish to make a presentation or only to attend.

Submissions received after 3 May 1991 will not be considered.
The decisions of the committee will be mailed by 1 July 1991.
Chairman:       Luca Console
                Dipartimento di Informatica - Universit` di Torino
                Corso Svizzera 185,  10149 Torino  (Italy)
                E-mail: lconsole@itoinfo.bitnet
                Fax: (+39) 11 751603      Tel.: (+39) 11 771 2002

Committee: I. Bratko (U. Ljubljana), P. Dague (IBM), J. de Kleer (Xerox),
G. Guida (U. Brescia), K. Eshghi (HP), W. Hamscher (Price Waterhouse), M.
Kramer (MIT), W. Nejdl (U. Wien), J. Pearl (UCLA), D. Poole (U. British
Columbia), O. Raiman (Xerox), J. Reggia (U.  Maryland), J. Sticklen
(Michigan State U.), P. Struss (Siemens), P.  Szolovits (MIT), G.
Tornielli (CISE).

Organizing Committee: M. Migliavacca (CISE, chairman), M.  Gallanti
(CISE), A. Giordana (U. Torino), L. Lesmo (U. Torino).

Secretarial Support: A. Camnasio, CISE, P.O. Box 12081, 20134 Milano, Tel
(+39) 2 21672400, Fax (+39) 2 26920587.

This workshop is sponsored by AI*IA.  Sponsorship required to AAAI and
ECCAI


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

End of Neuron Digest [Volume 6 Issue 60]
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