Archive-name: ai-faq/neural-nets/part4 Last-modified: 1996-06-27 URL: ftp://ftp.sas.com/pub/neural/FAQ4.html Maintainer: saswss@unx.sas.com (Warren S. Sarle)
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Weiss, S.M. & Kulikowski, C.A. (1991), Computer Systems That
Learn, Morgan Kaufmann. ISBN 1 55860 065 5.
Briefly covers at a very elementary level feedforward nets, linear and
nearest-neighbor discriminant analysis, trees, and expert sytems. For a
book at this level, it has an unusually good chapter on estimating
generalization error, including bootstrapping.
Hertz, J., Krogh, A., and Palmer, R. (1991). Introduction to the Theory of
Neural Computation. Addison-Wesley: Redwood City, California.
ISBN 0-201-50395-6 (hardbound) and 0-201-51560-1 (paperbound)
"My first impression is that this one is by far the best book on
the topic. And it's below $30 for the paperback."; "Well written, theoretical
(but not overwhelming)"; It provides a good balance of model development,
computational algorithms, and applications. The mathematical derivations
are especially well done"; "Nice mathematical analysis on the mechanism of
different learning algorithms"; "It is NOT for mathematical beginner.
If you don't have a good grasp of higher level math, this book can
be really tough to get through."
Cichocki, A. and Unbehauen, R. (1993). Neural Networks for Optimization and
Signal Processing.
NY: John Wiley & Sons, ISBN 0-471-930105 (hardbound), 526 pages, $57.95.
"Partly a textbook and partly a research monograph; introduces
the basic concepts, techniques, and models related to neural networks
and optimization, excluding rigorous mathematical details.
Accessible to a wide readership with a
differential calculus background. The main coverage of the book is
on recurrent neural networks with continuous state variables.
The book title would be more appropriate without mentioning signal
processing. Well edited, good illustrations."
Beale, R. and Jackson, T. (1990). Neural Computing, an Introduction.
Adam Hilger, IOP Publishing Ltd : Bristol. (ISBN 0-85274-262-2).
Comments: "It's clearly written. Lots of hints as to how to get the
adaptive models covered to work (not always well explained in the
original sources). Consistent mathematical terminology. Covers
perceptrons, error-backpropagation, Kohonen self-org model, Hopfield
type models, ART, and associative memories."
Caudill, M. and Butler, C. (1990). Naturally Intelligent Systems.
MIT Press: Cambridge, Massachusetts. (ISBN 0-262-03156-6).
The authors try to translate mathematical formulas into English. The
results are likely to disturb people who appreciate either mathematics
or English. Have the authors never heard that "a picture is worth a
thousand words"? What few diagrams they have (such as the one on p. 74)
tend to be confusing. Their jargon is peculiar even by NN standards.
Chester, M. (1993). Neural Networks: A Tutorial,
Englewood Cliffs, NJ: PTR Prentice Hall.
Shallow, sometimes confused, especially with regard to Kohonen networks.
Dayhoff, J. E. (1990). Neural Network Architectures: An Introduction.
Van Nostrand Reinhold: New York.
Comments: "Like Wasserman's book, Dayhoff's book is also very easy to
understand".
Fausett, L. V. (1994). Fundamentals of Neural Networks:
Architectures, Algorithms and Applications, Prentice Hall,
ISBN 0-13-334186-0. Also published
as a Prentice Hall International Edition, ISBN 0-13-042250-9.
Sample softeware (source code listings in C and Fortran) is included
in an Instructor's Manual.
"Intermediate in level between Wasserman and
Hertz/Krogh/Palmer. Algorithms for a broad range of neural
networks, including a chapter on Adaptive Resonance Theory with
ART2. Simple examples for each network."
Freeman, James (1994). Simulating Neural Networks with Mathematica, Addison-Wesley, ISBN: 0-201-56629-X. Helps the reader make his own NNs. The mathematica code for the programs in the book is also available through the internet: Send mail to MathSource@wri.com or try http://www.wri.com/ on the World Wide Web.
Freeman, J.A. and Skapura, D.M. (1991). Neural Networks:
Algorithms, Applications, and Programming Techniques,
Reading, MA: Addison-Wesley.
A good book for beginning programmers who want to learn how to write
NN programs while avoiding any understanding of what NNs do or why
they do it.
Gately, E. (1996). Neural Networks for Financial Forecasting.
New York: John Wiley and Sons, Inc.
Franco Insana comments:
* Decent book for the neural net beginner
* Very little devoted to statistical framework, although there
is some formulation of backprop theory
* Some food for thought
* Nothing here for those with any neural net experience
Hecht-Nielsen, R. (1990). Neurocomputing. Addison Wesley.
Comments: "A good book", "comprises a nice historical overview and a chapter
about NN hardware. Well structured prose. Makes important concepts clear."
McClelland, J. L. and Rumelhart, D. E. (1988).
Explorations in Parallel Distributed Processing: Computational Models of
Cognition and Perception (software manual). The MIT Press.
Comments: "Written in a tutorial style, and includes 2 diskettes of NN
simulation programs that can be compiled on MS-DOS or Unix (and they do
too !)"; "The programs are pretty reasonable as an introduction to some
of the things that NNs can do."; "There are *two* editions of this book.
One comes with disks for the IBM PC, the other comes with disks for the
Macintosh".
McCord Nelson, M. and Illingworth, W.T. (1990). A Practical Guide to Neural
Nets. Addison-Wesley Publishing Company, Inc. (ISBN 0-201-52376-0).
Lots of applications without technical details, lots of hype,
lots of goofs, no formulas.
Muller, B., Reinhardt, J., Strickland, M. T. (1995). Neural
Networks. An Introduction (2nd ed.). Berlin, Heidelberg, New York:
Springer-Verlag. ISBN 3-540-60207-0. (DOS 3.5" disk included.)
Comments: The book was developed out of a course on neural-network
models with computer demonstrations that was taught by the authors
to Physics students. The book comes together with a PC-diskette.
The book is divided into three parts:
(1) Models of Neural Networks; describing several architectures
and learing rules, including the mathematics.
(2) Statistical Physiscs of Neural Networks; "hard-core" physics
section developing formal theories of stochastic neural networks.
(3) Computer Codes; explanation about the demonstration programs.
First part gives a nice introduction into neural networks together
with the formulas. Together with the demonstration programs a 'feel'
for neural networks can be developed.
Orchard, G.A. & Phillips, W.A. (1991). Neural Computation: A
Beginner's Guide. Lawrence Earlbaum Associates: London.
Comments: "Short user-friendly introduction to the area, with a
non-technical flavour. Apparently accompanies a software package, but I
haven't seen that yet".
Rao, V.B & H.V. (1993). C++ Neural Networks and Fuzzy Logic.
MIS:Press, ISBN 1-55828-298-x, US $45 incl. disks.
"Probably not 'leading edge' stuff but detailed enough to get
your hands dirty!"
Wasserman, P. D. (1989). Neural Computing: Theory & Practice.
Van Nostrand Reinhold: New York. (ISBN 0-442-20743-3)
Comments: "Wasserman flatly enumerates some common architectures from an
engineer's perspective ('how it works') without ever addressing the underlying
fundamentals ('why it works') - important basic concepts such as clustering,
principal components or gradient descent are not treated. It's also full of
errors, and unhelpful diagrams drawn with what appears to be PCB board layout
software from the '70s. For anyone who wants to do active research in the
field I consider it quite inadequate"; "Okay, but too shallow"; "Quite
easy to understand";
"The best bedtime reading for Neural Networks. I have given
this book to numerous collegues who want to know NN basics, but who never
plan to implement anything. An excellent book to give your manager."
Rumelhart, D. E. and McClelland, J. L. (1986). Parallel Distributed
Processing: Explorations in the Microstructure of Cognition (volumes 1 & 2).
The MIT Press.
Comments: "As a computer scientist I found the two Rumelhart and McClelland
books really heavy going and definitely not the sort of thing to read if you
are a beginner."; "It's quite readable, and affordable (about $65 for both
volumes)."; "THE Connectionist bible".
Knight, K. (1990). Connectionist, Ideas and Algorithms. Communications of
the ACM. November 1990. Vol.33 nr.11, pp 59-74.
Comments:"A good article, while it is for most people easy to find a copy of
this journal."
Kohonen, T. (1988). An Introduction to Neural Computing. Neural Networks,
vol. 1, no. 1. pp. 3-16.
Comments: "A general review".
Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986). Learning
representations by back-propagating errors. Nature, vol 323 (9 October),
pp. 533-536.
Comments: "Gives a very good potted explanation of backprop NN's. It gives
sufficient detail to write your own NN simulation."
Anderson, J. A., Pellionisz, A. and Rosenfeld, E. (Eds). (1990).
Neurocomputing 2: Directions for Research. The MIT Press: Cambridge, MA.
Comments: "The sequel to their well-known Neurocomputing book."
Bourlard, H.A., and Morgan, N. (1994), Connectionist Speech Recognition: A Hybrid Approach, Boston: Kluwer Academic Publishers.
Deco, G. and Obradovic, D. (1996), An Information-Theoretic Approach to Neural Computing, NY: Springer-Verlag.
Haykin, S. (1994). Neural Networks, a Comprehensive Foundation.
Macmillan, New York, NY.
"A very readable, well written intermediate text on NNs
Perspective is primarily one of pattern recognition, estimation and
signal processing. However, there are well-written chapters on
neurodynamics and VLSI implementation. Though there is emphasis on
formal mathematical models of NNs as universal approximators,
statistical estimators, etc., there are also examples of NNs
used in practical applications. The problem sets at the end of
each chapter nicely complement the material. In the bibliography
are over 1000 references."
Khanna, T. (1990). Foundations of Neural Networks. Addison-Wesley: New York.
Comments: "Not so bad (with a page of erroneous formulas (if I remember
well), and #hidden layers isn't well described)."; "Khanna's intention
in writing his book with math analysis should be commended but he
made several mistakes in the math part".
Kung, S.Y. (1993). Digital Neural Networks, Prentice Hall, Englewood Cliffs, NJ.
Levine, D. S. (1990). Introduction to Neural and Cognitive Modeling.
Lawrence Erlbaum: Hillsdale, N.J.
Comments: "Highly recommended".
Lippmann, R. P. (April 1987). An introduction to computing with neural nets.
IEEE Acoustics, Speech, and Signal Processing Magazine. vol. 2,
no. 4, pp 4-22.
Comments: "Much acclaimed as an overview of neural networks, but rather
inaccurate on several points. The categorization into binary and continuous-
valued input neural networks is rather arbitrary, and may work confusing for
the unexperienced reader. Not all networks discussed are of equal
importance."
Maren, A., Harston, C. and Pap, R., (1990). Handbook of Neural Computing
Applications. Academic Press. ISBN: 0-12-471260-6. (451 pages)
Comments: "They cover a broad area"; "Introductory with suggested
applications implementation".
Pao, Y. H. (1989). Adaptive Pattern Recognition and Neural Networks
Addison-Wesley Publishing Company, Inc. (ISBN 0-201-12584-6)
Comments: "An excellent book that ties together classical approaches
to pattern recognition with Neural Nets. Most other NN books do not
even mention conventional approaches."
Refenes, A. (Ed.) (1995). Neural Networks in the Capital Markets.
Chichester, England: John Wiley and Sons, Inc.
Franco Insana comments:
* Not for the beginner * Excellent introductory material presented by editor in first 5 chapters, which could be a valuable reference source for any practitioner * Very thought-provoking * Mostly backprop-related * Most contributors lay good statistical foundation * Overall, a wealth of information and ideas, but the reader has to sift through it all to come away with anything useful
Simpson, P. K. (1990). Artificial Neural Systems: Foundations, Paradigms,
Applications and Implementations. Pergamon Press: New York.
Comments: "Contains a very useful 37 page bibliography. A large number of
paradigms are presented. On the negative side the book is very shallow.
Best used as a complement to other books".
Wasserman, P.D. (1993). Advanced Methods in Neural Computing.
Van Nostrand Reinhold: New York (ISBN: 0-442-00461-3).
Comments: Several neural network topics are discussed e.g.
Probalistic Neural Networks, Backpropagation and beyond,
neural control, Radial Basis Function Networks,
Neural Engineering. Furthermore, several subjects
related to neural networks are mentioned e.g.
genetic algorithms, fuzzy logic, chaos. Just the functionality
of these subjects is described; enough to get you started.
Lots of references are given to more elaborate descriptions.
Easy to read, no extensive mathematical background necessary.
Zeidenberg. M. (1990). Neural Networks in Artificial Intelligence.
Ellis Horwood, Ltd., Chichester.
Comments: "Gives the AI point of view".
Zornetzer, S. F., Davis, J. L. and Lau, C. (1990). An Introduction to
Neural and Electronic Networks. Academic Press. (ISBN 0-12-781881-2)
Comments: "Covers quite a broad range of topics (collection of
articles/papers )."; "Provides a primer-like introduction and overview for
a broad audience, and employs a strong interdisciplinary emphasis".
Zurada, Jacek M. (1992). Introduction To Artificial Neural Systems.
Hardcover, 785 Pages, 317 Figures, ISBN 0-534-95460-X, 1992, PWS Publishing
Company, Price: $56.75 (includes shipping, handling, and the ANS software
diskette). Solutions Manual available.
"Cohesive and comprehensive book on neural nets; as
an engineering-oriented introduction, but also as a research
foundation. Thorough exposition of fundamentals, theory and
applications. Training and recall algorithms appear in boxes showing
steps of algorithms, thus making programming of learning paradigms
easy. Many illustrations and intuitive examples. Winner among NN
textbooks at a senior UG/first year graduate level-[175 problems]."
Contents: Intro, Fundamentals of Learning, Single-Layer & Multilayer
Perceptron NN, Assoc. Memories, Self-organizing and Matching Nets,
Applications, Implementations, Appendix)
Blum, Adam (1992), Neural Networks in C++, Wiley.
Welstead, Stephen T. (1994), Neural Network and Fuzzy Logic Applications in C/C++, Wiley.
"A rule of thumb is for the size of this [hidden] layer to be somewhere between the input layer size ... and the output layer size ..." Blum, p. 60.(John Lazzaro tells me he recently "reviewed a paper that cited this rule of thumb--and referenced this book! Needless to say, the final version of that paper didn't include the reference!")
Blum offers some profound advice on choosing inputs:
"The next step is to pick as many input factors as possible that might be related to [the target]."Blum also shows a deep understanding of statistics:
"A statistical model is simply a more indirect way of learning correlations. With a neural net approach, we model the problem directly." p. 8.Blum at least mentions some important issues, however simplistic his advice may be. Welstead just ignores them. What Welstead gives you is code--vast amounts of code. I have no idea how anyone could write that much code for a simple feedforward NN. Welstead's approach to validation, in his chapter on financial forecasting, is to reserve two cases for the validation set!
My comments apply only to the text of the above books. I have not examined or attempted to compile the code.
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[to be added: comments on speed of reviewing and publishing,
whether they accept TeX format or ASCII by e-mail, etc.]
Title: Neural Networks
Publish: Pergamon Press
Address: Pergamon Journals Inc., Fairview Park, Elmsford,
New York 10523, USA and Pergamon Journals Ltd.
Headington Hill Hall, Oxford OX3, 0BW, England
Freq.: 10 issues/year (vol. 1 in 1988)
Cost/Yr: Free with INNS or JNNS or ENNS membership ($45?),
Individual $65, Institution $175
ISSN #: 0893-6080
WWW: http://www.elsevier.nl/locate/inca/841
Remark: Official Journal of International Neural Network Society (INNS),
European Neural Network Society (ENNS) and Japanese Neural
Network Society (JNNS).
Contains Original Contributions, Invited Review Articles, Letters
to Editor, Book Reviews, Editorials, Announcements, Software Surveys.
Title: Neural Computation
Publish: MIT Press
Address: MIT Press Journals, 55 Hayward Street Cambridge,
MA 02142-9949, USA, Phone: (617) 253-2889
Freq.: Quarterly (vol. 1 in 1989)
Cost/Yr: Individual $45, Institution $90, Students $35; Add $9 Outside USA
ISSN #: 0899-7667
URL: http://www-mitpress.mit.edu/jrnls-catalog/neural.html
Remark: Combination of Reviews (10,000 words), Views (4,000 words)
and Letters (2,000 words). I have found this journal to be of
outstanding quality.
(Note: Remarks supplied by Mike Plonski "plonski@aero.org")
Title: IEEE Transactions on Neural Networks
Publish: Institute of Electrical and Electronics Engineers (IEEE)
Address: IEEE Service Cemter, 445 Hoes Lane, P.O. Box 1331, Piscataway, NJ,
08855-1331 USA. Tel: (201) 981-0060
Cost/Yr: $10 for Members belonging to participating IEEE societies
Freq.: Quarterly (vol. 1 in March 1990)
URL: http://www.ieee.org/nnc/pubs/transactions.html
Remark: Devoted to the science and technology of neural networks
which disclose significant technical knowledge, exploratory
developments and applications of neural networks from biology to
software to hardware. Emphasis is on artificial neural networks.
Specific aspects include self organizing systems, neurobiological
connections, network dynamics and architecture, speech recognition,
electronic and photonic implementation, robotics and controls.
Includes Letters concerning new research results.
(Note: Remarks are from journal announcement)
Title: International Journal of Neural Systems
Publish: World Scientific Publishing
Address: USA: World Scientific Publishing Co., 1060 Main Street, River Edge,
NJ 07666. Tel: (201) 487 9655; Europe: World Scientific Publishing
Co. Ltd., 57 Shelton Street, London WC2H 9HE, England.
Tel: (0171) 836 0888; Asia: World Scientific Publishing Co. Pte. Ltd.,
1022 Hougang Avenue 1 #05-3520, Singapore 1953, Rep. of Singapore
Tel: 382 5663.
Freq.: Quarterly (Vol. 1 in 1990)
Cost/Yr: Individual $122, Institution $255 (plus $15-$25 for postage)
ISSN #: 0129-0657 (IJNS)
Remark: The International Journal of Neural Systems is a quarterly
journal which covers information processing in natural
and artificial neural systems. Contributions include research papers,
reviews, and Letters to the Editor - communications under 3,000
words in length, which are published within six months of receipt.
Other contributions are typically published within nine months.
The journal presents a fresh undogmatic attitude towards this
multidisciplinary field and aims to be a forum for novel ideas and
improved understanding of collective and cooperative phenomena with
computational capabilities.
Papers should be submitted to World Scientific's UK office. Once a
paper is accepted for publication, authors are invited to e-mail
the LaTeX source file of their paper in order to expedite publication.
Title: International Journal of Neurocomputing
Publish: Elsevier Science Publishers, Journal Dept.; PO Box 211;
1000 AE Amsterdam, The Netherlands
Freq.: Quarterly (vol. 1 in 1989)
WWW: http://www.elsevier.nl/locate/inca/505628
Title: Neural Processing Letters
Publish: D facto publications
Address: 45 rue Masui; B-1210 Brussels, Belgium
Phone: (32) 2 245 43 63; Fax: (32) 2 245 46 94
Freq: 6 issues/year (vol. 1 in September 1994)
Cost/Yr: BEF 4400 (about $140)
ISSN #: 1370-4621
URL: http://www.dice.ucl.ac.be/neural-nets/NPL/NPL.html
FTP: ftp://ftp.dice.ucl.ac.be/pub/neural-nets/NPL
Remark: The aim of the journal is to rapidly publish new ideas, original
developments and work in progress. Neural Processing Letters
covers all aspects of the Artificial Neural Networks field.
Publication delay is about 3 months.
Title: Neural Network News
Publish: AIWeek Inc.
Address: Neural Network News, 2555 Cumberland Parkway, Suite 299,
Atlanta, GA 30339 USA. Tel: (404) 434-2187
Freq.: Monthly (beginning September 1989)
Cost/Yr: USA and Canada $249, Elsewhere $299
Remark: Commercial Newsletter
Title: Network: Computation in Neural Systems
Publish: IOP Publishing Ltd
Address: Europe: IOP Publishing Ltd, Techno House, Redcliffe Way, Bristol
BS1 6NX, UK; IN USA: American Institute of Physics, Subscriber
Services 500 Sunnyside Blvd., Woodbury, NY 11797-2999
Freq.: Quarterly (1st issue 1990)
Cost/Yr: USA: $180, Europe: 110 pounds
Remark: Description: "a forum for integrating theoretical and experimental
findings across relevant interdisciplinary boundaries." Contents:
Submitted articles reviewed by two technical referees paper's
interdisciplinary format and accessability." Also Viewpoints and
Reviews commissioned by the editors, abstracts (with reviews) of
articles published in other journals, and book reviews.
Comment: While the price discourages me (my comments are based
upon a free sample copy), I think that the journal succeeds
very well. The highest density of interesting articles I
have found in any journal.
(Note: Remarks supplied by kehoe@csufres.CSUFresno.EDU)
Title: Connection Science: Journal of Neural Computing,
Artificial Intelligence and Cognitive Research
Publish: Carfax Publishing
Address: Europe: Carfax Publishing Company, PO Box 25, Abingdon, Oxfordshire
OX14 3UE, UK.
USA: Carfax Publishing Company, PO Box 2025, Dunnellon, Florida
34430-2025, USA
Australia: Carfax Publishing Company, Locked Bag 25, Deakin,
ACT 2600, Australia
Freq.: Quarterly (vol. 1 in 1989)
Cost/Yr: Personal rate:
48 pounds (EC) 66 pounds (outside EC) US$118 (USA and Canada)
Institutional rate:
176 pounds (EC) 198 pounds (outside EC) US$340 (USA and Canada)
Title: International Journal of Neural Networks
Publish: Learned Information
Freq.: Quarterly (vol. 1 in 1989)
Cost/Yr: 90 pounds
ISSN #: 0954-9889
Remark: The journal contains articles, a conference report (at least the
issue I have), news and a calendar.
(Note: remark provided by J.R.M. Smits "anjos@sci.kun.nl")
Title: Sixth Generation Systems (formerly Neurocomputers)
Publish: Gallifrey Publishing
Address: Gallifrey Publishing, PO Box 155, Vicksburg, Michigan, 49097, USA
Tel: (616) 649-3772, 649-3592 fax
Freq. Monthly (1st issue January, 1987)
ISSN #: 0893-1585
Editor: Derek F. Stubbs
Cost/Yr: $79 (USA, Canada), US$95 (elsewhere)
Remark: Runs eight to 16 pages monthly. In 1995 will go to floppy disc-based
publishing with databases +, "the equivalent to 50 pages per issue are
planned." Often focuses on specific topics: e.g., August, 1994 contains two
articles: "Economics, Times Series and the Market," and "Finite Particle
Analysis - [part] II." Stubbs also directs the company Advanced Forecasting
Technologies. (Remark by Ed Rosenfeld: ier@aol.com)
Title: JNNS Newsletter (Newsletter of the Japan Neural Network Society)
Publish: The Japan Neural Network Society
Freq.: Quarterly (vol. 1 in 1989)
Remark: (IN JAPANESE LANGUAGE) Official Newsletter of the Japan Neural
Network Society(JNNS)
(Note: remarks by Osamu Saito "saito@nttica.NTT.JP")
Title: Neural Networks Today
Remark: I found this title in a bulletin board of october last year.
It was a message of Tim Pattison, timpatt@augean.OZ
(Note: remark provided by J.R.M. Smits "anjos@sci.kun.nl")
Title: Computer Simulations in Brain Science
Title: Internation Journal of Neuroscience
Title: Neural Network Computation
Remark: Possibly the same as "Neural Computation"
Title: Neural Computing and Applications
Freq.: Quarterly
Publish: Springer Verlag
Cost/yr: 120 Pounds
Remark: Is the journal of the Neural Computing Applications Forum.
Publishes original research and other information
in the field of practical applications of neural computing.
Title: Complex Systems
Publish: Complex Systems Publications
Address: Complex Systems Publications, Inc., P.O. Box 6149, Champaign,
IL 61821-8149, USA
Freq.: 6 times per year (1st volume is 1987)
ISSN #: 0891-2513
Cost/Yr: Individual $75, Institution $225
Remark: Journal COMPLEX SYSTEMS devotes to rapid publication of research
on science, mathematics, and engineering of systems with simple
components but complex overall behavior. Send mail to
"jcs@jaguar.ccsr.uiuc.edu" for additional info.
(Remark is from announcement on Net)
Title: Biological Cybernetics (Kybernetik)
Publish: Springer Verlag
Remark: Monthly (vol. 1 in 1961)
Title: Various IEEE Transactions and Magazines
Publish: IEEE
Remark: Primarily see IEEE Trans. on System, Man and Cybernetics;
Various Special Issues: April 1990 IEEE Control Systems
Magazine.; May 1989 IEEE Trans. Circuits and Systems.;
July 1988 IEEE Trans. Acoust. Speech Signal Process.
Title: The Journal of Experimental and Theoretical Artificial Intelligence
Publish: Taylor & Francis, Ltd.
Address: London, New York, Philadelphia
Freq.: ? (1st issue Jan 1989)
Remark: For submission information, please contact either of the editors:
Eric Dietrich Chris Fields
PACSS - Department of Philosophy Box 30001/3CRL
SUNY Binghamton New Mexico State University
Binghamton, NY 13901 Las Cruces, NM 88003-0001
dietrich@bingvaxu.cc.binghamton.edu cfields@nmsu.edu
Title: The Behavioral and Brain Sciences
Publish: Cambridge University Press
Remark: (Expensive as hell, I'm sure.)
This is a delightful journal that encourages discussion on a
variety of controversial topics. I have especially enjoyed
reading some papers in there by Dana Ballard and Stephen
Grossberg (separate papers, not collaborations) a few years
back. They have a really neat concept: they get a paper,
then invite a number of noted scientists in the field to
praise it or trash it. They print these commentaries, and
give the author(s) a chance to make a rebuttal or
concurrence. Sometimes, as I'm sure you can imagine, things
get pretty lively. I'm reasonably sure they are still at
it--I think I saw them make a call for reviewers a few
months ago. Their reviewers are called something like
Behavioral and Brain Associates, and I believe they have to
be nominated by current associates, and should be fairly
well established in the field. That's probably more than I
really know about it but maybe if you post it someone who
knows more about it will correct any errors I have made.
The main thing is that I liked the articles I read. (Note:
remarks by Don Wunsch )
Title: International Journal of Applied Intelligence
Publish: Kluwer Academic Publishers
Remark: first issue in 1990(?)
Title: Bulletin of Mathematical Biology
Title: Intelligence
Title: Journal of Mathematical Biology
Title: Journal of Complex System
Title: International Journal of Modern Physics C
Publish: USA: World Scientific Publishing Co., 1060 Main Street, River Edge,
NJ 07666. Tel: (201) 487 9655; Europe: World Scientific Publishing
Co. Ltd., 57 Shelton Street, London WC2H 9HE, England.
Tel: (0171) 836 0888; Asia: World Scientific Publishing Co. Pte. Ltd.,
1022 Hougang Avenue 1 #05-3520, Singapore 1953, Rep. of Singapore
Tel: 382 5663.
Freq: bi-monthly
Eds: H. Herrmann, R. Brower, G.C. Fox and S Nose
Title: Machine Learning
Publish: Kluwer Academic Publishers
Address: Kluwer Academic Publishers
P.O. Box 358
Accord Station
Hingham, MA 02018-0358 USA
Freq.: Monthly (8 issues per year; increasing to 12 in 1993)
Cost/Yr: Individual $140 (1992); Member of AAAI or CSCSI $88
Remark: Description: Machine Learning is an international forum for
research on computational approaches to learning. The journal
publishes articles reporting substantive research results on a
wide range of learning methods applied to a variety of task
domains. The ideal paper will make a theoretical contribution
supported by a computer implementation.
The journal has published many key papers in learning theory,
reinforcement learning, and decision tree methods. Recently
it has published a special issue on connectionist approaches
to symbolic reasoning. The journal regularly publishes
issues devoted to genetic algorithms as well.
Title: INTELLIGENCE - The Future of Computing
Published by: Intelligence
Address: INTELLIGENCE, P.O. Box 20008, New York, NY 10025-1510, USA,
212-222-1123 voice & fax; email: ier@aol.com, CIS: 72400,1013
Freq. Monthly plus four special reports each year (1st issue: May, 1984)
ISSN #: 1042-4296
Editor: Edward Rosenfeld
Cost/Yr: $395 (USA), US$450 (elsewhere)
Remark: Has absorbed several other newsletters, like Synapse/Connection
and Critical Technology Trends (formerly AI Trends).
Covers NN, genetic algorithms, fuzzy systems, wavelets, chaos
and other advanced computing approaches, as well as molecular
computing and nanotechnology.
Title: Journal of Physics A: Mathematical and General
Publish: Inst. of Physics, Bristol
Freq: 24 issues per year.
Remark: Statistical mechanics aspects of neural networks
(mostly Hopfield models).
Title: Physical Review A: Atomic, Molecular and Optical Physics
Publish: The American Physical Society (Am. Inst. of Physics)
Freq: Monthly
Remark: Statistical mechanics of neural networks.
Title: Information Sciences
Publish: North Holland (Elsevier Science)
Freq.: Monthly
ISSN: 0020-0255
Editor: Paul P. Wang; Department of Electrical Engineering; Duke University;
Durham, NC 27706, USA
Title: JOURNAL OF COMPLEXITY
Remark: (Must rank alongside Wolfram's Complex Systems)
Title: IEEE ASSP Magazine
Remark: (April 1987 had the Lippmann intro. which everyone likes to cite)
Title: ARTIFICIAL INTELLIGENCE
Remark: (Vol 40, September 1989 had the survey paper by Hinton)
Title: COGNITIVE SCIENCE
Remark: (the Boltzmann machine paper by Ackley et al appeared here
in Vol 9, 1983)
Title: COGNITION
Remark: (Vol 28, March 1988 contained the Fodor and Pylyshyn
critique of connectionism)
Title: COGNITIVE PSYCHOLOGY
Remark: (no comment!)
Title: JOURNAL OF MATHEMATICAL PSYCHOLOGY
Remark: (several good book reviews)
------------------------------------------------------------------------
[to be added: has taken place how often yet; most emphasized topics; where to get proceedings/calls-for-papers etc. ]
------------------------------------------------------------------------
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ftp://una.hh.lib.umich.edu/inetdirsstacks/neurosci:cormbonario, gopher://una.hh.lib.umich.edu/00/inetdirsstacks/neurosci:cormbonario, http://http2.sils.umich.edu/Public/nirg/nirg1.html.
Links to neurosci, psychology, linguistics lists are also provided.
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The system requirements for all databases are a 5.25" CD-ROM drive with software to read ISO-9660 format. Contact: Darrin L. Dimmick; dld@magi.ncsl.nist.gov; (301)975-4147
The prices of the databases are between US$ 250 and 1895 If you wish to order a database, please contact: Standard Reference Data; National Institute of Standards and Technology; 221/A323; Gaithersburg, MD 20899; Phone: (301)975-2208; FAX: (301)926-0416
Samples of the data can be found by ftp on sequoyah.ncsl.nist.gov in directory /pub/data A more complete description of the available databases can be obtained from the same host as /pub/databases/catalog.txt
Specifications of the database include:
+ 300 ppi 8-bit grayscale handwritten words (cities,
states, ZIP Codes)
o 5632 city words
o 4938 state words
o 9454 ZIP Codes
+ 300 ppi binary handwritten characters and digits:
o 27,837 mixed alphas and numerics segmented
from address blocks
o 21,179 digits segmented from ZIP Codes
+ every image supplied with a manually determined
truth value
+ extracted from live mail in a working U.S. Post
Office
+ word images in the test set supplied with dic-
tionaries of postal words that simulate partial
recognition of the corresponding ZIP Code.
+ digit images included in test set that simulate
automatic ZIP Code segmentation. Results on these
data can be projected to overall ZIP Code recogni-
tion performance.
+ image format documentation and software included
System requirements are a 5.25" CD-ROM drive with software to read
ISO-9660 format.
For any further information, including how to order the
database, please contact:
Jonathan J. Hull, Associate Director, CEDAR, 226 Bell Hall
State University of New York at Buffalo, Buffalo, NY 14260;
hull@cs.buffalo.edu (email)
Some of the datasets were used in a prediction contest and are described in detail in the book "Time series prediction: Forecasting the future and understanding the past", edited by Weigend/Gershenfield, Proceedings Volume XV in the Santa Fe Institute Studies in the Sciences of Complexity series of Addison Wesley (1994).
For further information, see ftp://src.doc.ic.ac.uk/pub/packages/faces/README Do NOT do a directory listing in the top directory of the face archive, as it contains over 2500 entries!
According to the archive administrator, Barbara L. Dijker
(barb.dijker@labyrinth.com), there is no restriction to use them.
However, the image files are stored in separate directories
corresponding to the Internet site to which the person represented in
the image belongs, with each directory containing a small number of
images (two in the average). This makes it difficult to retrieve by ftp
even a small part of the database, as you have to get each one
individually.
A solution, as Barbara proposed me, would be to compress the whole set
of images (in separate files of, say, 100 images) and maintain them as a
specific archive for research on face processing, similar to the ones
that already exist for fingerprints and others. The whole compressed
database would take some 30 megabytes of disk space. I encourage anyone
willing to host this database in his/her site, available for anonymous
ftp, to contact her for details (unfortunately I don't have the
resources to set up such a site).
Please consider that UUNET has graciously provided the ftp server for the FaceSaver archive and may discontinue that service if it becomes a burden. This means that people should not download more than maybe 10 faces at a time from uunet.
A last remark: each file represents a different person (except for isolated cases). This makes the database quite unsuitable for training neural networks, since for proper generalisation several instances of the same subject are required. However, it is still useful for use as testing set on a trained network.
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