neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (04/25/91)
Neuron Digest Wednesday, 24 Apr 1991 Volume 7 : Issue 22 Today's Topics: Caltech VLSI CAD Tool distribution Neural Computation Long Papers call for references and papers on backprop Genetic Algorithm Course, July 22-26, 1991 Reprints from CAISR Call for participation in AI Symposium 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: Caltech VLSI CAD Tool distribution From: John Lazzaro <lazzaro@hobiecat.cs.caltech.edu> Date: Sat, 20 Apr 91 16:17:41 -0700 Caltech VLSI CAD Tool Distribution ---------------------------------- We are offering to the Internet community a pre-release version of the Caltech electronic CAD system for analog VLSI neural networks. This distribution contains tools for schematic capture, netlist creation, and analog and digital simulation (log), IC mask layout, extraction, and DRC (wol), simple chip compilation (wolcomp), MOSIS fabrication request generation (mosis), netlist comparison (netcmp), data plotting (view) and postscript graphics editing (until). These tools were used exclusively for the design and test of all the integrated circuits described in Carver Mead's book "Analog VLSI and Neural Systems". Until was used as the primary tool for figure creation for the book. The distribution also contains an example of an analog VLSI chip that was designed and fabricated with these tools, and an example of an Actel field-programmable gate array design that was simulated and converted to Actel format with these tools. These tools are distributed under a license very similar to the GNU license; the minor changes protect Caltech from liability. To use these tools, you need: 1) A unix workstation that runs X11r3, X11r4, or Openwindows 2) A color screen 3) Gcc or other ANSI-standard compiler Right now only Sun Sparcstations are officially supported, although resourceful users have the tools running on Sun 3, HP Series 300, and Decstations. If don't have a Sparcstation or an HP 300, only take the package if you feel confident in your C/Unix abilities to do the porting required; someday soon we will integrate the changes back into the sources officially, although many "ifdef mips" are already in the code. If you are interested in some or all of these tools, 1) ftp to hobiecat.cs.caltech.edu on the Internet, 2) log in as anonymous and use your username as the password 3) cd ~ftp/pub/chipmunk 4) copy the file README, that contains more information. European researchers can access these files through anonymous ftp using the machine ifi.uio.no in Norway; the files are in the directory chipmunk. We are unable to help users who do not have Internet ftp access. ------------------------------ Subject: Neural Computation Long Papers From: Terry Sejnowski <tsejnowski@UCSD.EDU> Date: Sat, 20 Apr 91 19:32:42 -0700 The editorial board of Neural Computation has decided to start accepting a limited number of full length papers. These will be more thoroughly reviewed than letters and there will be only one or two per issue, so it will be more difficult to get one accepted, like the longer articles in Nature and Science. Terry ------------------------------ Subject: call for references and papers on backprop From: mgj@cup.portal.com Date: Tue, 23 Apr 91 02:56:04 -0700 A CALL FOR YOUR FAVORITE REFERENCES ON BACKPROP UPGRADES I am compiling a list of references on all respectable improvements to BackProp. This list will then be posted. The following topics are included: 1. The effect of low bit quantization 2. The effects of momentum and batching (experimental proof needed) 3. QuickProp, FastProp, UniProp,....whateverProp 4. Conjugate Gradients 5. 2,3 or more hidden layers 6. Added noise in the data 7. Added noise in the weight adjustments 8. Gaussian hidden layer cells 9. Kohonen layer pre-processing of the raw data 10. Pre-processing to remove (and later add back) linear transformations 11. Pre-processing to orthogonalize the input data If you have any other topics that ought to be added to this list, please let me know. If you have favorite references addressing any of these topics, please let me know. Please ask authors to send their most definitive papers on any of the above topics to the following address. I am co-authoring a book with Philip Wasserman and wish to include summaries of as much of the above topics as is possible. Thanks. Jurik Research & Consulting PO 2379 Aptos, CA 95001 USA ------------------------------ Subject: Genetic Algorithm Course, July 22-26, 1991 From: "David E. Goldberg" <GOLDBERG@vmd.cso.uiuc.edu> Date: Tue, 23 Apr 91 07:31:08 -0500 A five-day short course entitled "Genetic Algorithms in Search, Optimization, and Machine Learning" will be presented at Stanford University's Western Institute in Computer Science on July 22-26 by David E. Goldberg (Illinois) and John R. Koza (Stanford). The course presents in-depth coverage of GA mechanics, theory, and application in search, optimization, and machine learning. Students will be encouraged to solve their own problems in hands-on computer workshops monitored by the course instructors. For further information regarding this course contact Joleen Barnhill, Western Institute in Computer Science, PO Box 1238, Magalia, CA 95954, (916) 873-0575, email: barnhill@hudson.stanford.edu. ------------------------------ Subject: Reprints from CAISR From: takefuji@axon.eeap.cwru.edu (Yoshiyasu Takefuji) Date: Tue, 23 Apr 91 15:20:25 -0400 The following reprints are available from Center for Automation and Intelligent Systems Research (CAISR) at Case Western Reserve University. Send your request to Lawrence Boyd, CAISR, Case Western Reserve University, Cleveland, OH 44106. Phone 216-368-6434. 91-113: R. J. Jannarone, K. F. Yu, and Y. Takefuji, "Conjunctoids: Statistical Learning Modules for Binary Events," Neural Networks, 1, 4, Nov. 1988. 91-114: Y. Takefuji, and K. C. Lee, "A near-optimum parallel planarization algorithm," Science, 245, pp. 1221-1223, Sept. 1989. 91-115: Y. Takefuji, and K. C. Lee "A parallel algorithm for tiling problems" IEEE Trans. on Neural Networks, 1, 1, 1990. 91-116: Y. Takefuji and K. C. Lee, "A two-step parallel sorting algorithm based on neural networks," Journal of Neural Network Computing, 2, 1, 30-32, 1990. 91-117: Y. Takefuji and K. C. Lee, "A super parallel sorting algorithm based on neural networks," IEEE Trans. on Circuits and Systems, 37, 11, 1990. 91-118: Y. Takefuji, C. W. Lin, and K. C. Lee, "A parallel algorithm for estimating the secondary structure in Ribonucleic Acids," Biological Cybernetics, 63, 5, 1990. 91-119: Y. Takefuji, L. L. Chen, K. C. Lee, and J. Huffman, "Parallel algorithms for finding a near-maximum independent set of a circle graph," IEEE Trans. on Neural Networks, 1, 3, 1990. 91-120: S. Y. Foo, L. R. Anderson, Y. Takefuji, "Analog components for the VLSI of artificial neural networks," IEEE Circuits and Devices, July 1990. 91-121: Y. Takefuji, and K. C. Lee, "Artificial neural networks for four-coloring problems and k-colorability problems," IEEE Trans. on Circuits and Systems, 38, 3, 1991. 91-122: T. Kurokawa, K. C. Lee, Y. B. Cho, Y. Takefuji, and N. Funabiki, "CMOS layour design of the hysteresis McCulloch-Pitts neuron," Electronics Letters, 26, 25, 1990. 91-123: Y. Takefuji, and K. C. Lee, "Reply to comment on parallel algorithms for finding a near-maximum independent set of a circle graph," IEEE Trans. on Neural Networks, 2, 2, 1991. ------------------------------ Subject: Call for participation in AI Symposium From: Tony Chan <chan%unb.ca@UNBMVS1.csd.unb.ca> Date: Thu, 18 Apr 91 17:08:27 -0300 *************************** * * * CALL for PARTICIPATION * * * *************************** The Fourth UNB Artificial Intelligence Symposium University of New Brunswick Fredericton, New Brunswick, Canada Friday & Saturday, Sept. 20 & 21, 1991 Program Committee: ****************** Ranan Banerji, St. Joseph's U., Philadelphia, PA Wolfgang Bibel, I.T.H., Darmstadt, West Germany David Bonham, Mechanical Eng., U.N.B. Z. Chen, U. of Nebraska, Omaha, NE Chang Choo, W.P.I., Worcester, MA Rajamani Doraiswami, Electrical Eng., U.N.B. Martin A. Fischler, SRI Int., Menlo Park, CA Herbert Freeman, Rutgers U., New Brunswick , NJ C. Lee Giles, NEC Research Ins., Princeton, NJ Paul Gillard, Memorial U., St. John's, Nfld. Vasant Honavar, Iowa State U., Ames, IA Laveen Kanal, U. of Maryland, Coll. Park, MD Vladik Kreinovich, U. of Texas, El Paso, TX Werner Kuhn, U. of Maine, Orono, ME Bernd Kurz, Computer Science, U.N.B. Patrice Lapointe, AECL Res., Chalk River, Ont. Mark Lidd, Mitre Corp., Fairfax, VA B.I.B. Madhav, I.I.T., Madras, India Ettore Merlo, C.R.I.M., Montreal, Que. Tom Mitchell, Carnegie Mellon, Pittsburgh, PA Jan Mulder, Dalhousie U., Halifax, N.S. Eric Neufeld, U. of Saskatchewan, Saskatoon, Sask. N. Parameswaran, I.I.T., Madras, India Richard Peacocke, Bell-Northern Res., Ottawa, Ont. Denis Riordan, T.U.N.S., Halifax, N.S. John Robinson, Civil Eng., U.N.B. Azriel Rosenfeld, U. of Maryland, Coll. Park, MD Leemseop Shim, Governors State U., Univ. Park, IL Eduardo Sontag, Rutgers U., New Brunswick, NJ Paul Tarau, U. de Moncton, Moncton, N.B. Manoel Tenorio, Purdue U., West Lafayette, IN Richard Tervo, Electrical Eng., U.N.B. Tetsuyuki Toyofuku, National-Panasonic, Osaka, Japan Andri Trudel, Acadia U., Wolfville, N.S. Lloyd Waugh, Civil Eng., U.N.B. Ian Witten , U. of Calgary, Calgary, Alta. Andrew K.C. Wong, U. of Waterloo, Waterloo, Ont. Jean Zanazaka, U. de Sherbrooke, Que. Sponsored by: ************* Faculty of Computer Science, University of New Brunswick Bell-Northern Research Canadian Society for Computational Studies of Intelligence In Cooperation with: ******************** The American Association for Artificial Intelligence (AAAI) IEEE Computer Society International Association of Knowledge Engineers (IAKE) Japanese Society of Artificial Intelligence Keynote Address: **************** "Self-Reliant Robots: The Ambler Rover and Beyond" by Dr. Reid Simmons, Research Computer Scientist, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA Panel Discussion (1.5 hours): ***************************** "On the Role of Machine Learning in Artificial Intelligence" =---------------------------------------------------------------------- The UNB Artificial Intelligence Symposium provides a forum for an exchange of ideas, experiences and information about activities in artificial intelligence. Your participation is invited in the form of (1) a paper to be reviewed (nominally by three reviewers) and, if accepted, published and presented at the Symposium, or (2) a half-day tutorial on a suitable AI topic, to be presented at the Symposium. All tutorial proposals must have a stated goal, a detailed outline (2 - 5 pages), target audience defined, and a brief resume of the tutorial presenter(s), or (3) an exhibit or display of artificial intelligence technology. Important Dates: **************** May 15, 1991 -- Four copies of an extended abstract (2 to 4 double- spaced pages) or a full paper (max. 11 pages, including figures) to one of the Program Co-Chairs (see address below). July 1, 1991 -- Notification of acceptance will be mailed. August 15, 1991 -- Final camera-ready copies of papers are due. Topics of interest include, but are not limited to *************************************************** Foundations of AI, Connectionist Theory & Applications Pattern Recognition, Machine Learning Knowledge Acquisition, Automated Theorem Proving Computer Vision, Knowledge Representation Natural Language Processing , Temporal Reasoning Knowledge-Based Systems, Database/Knowledge Base Integration Robotics, Real-Time Expert Systems, Automated Planning Expert System Verification, Automated Scheduling Novel Architectures for AI, Case-Based Reasoning Truth Maintenance Systems, Reasoning Under Uncertainty A pre-published proceedings will be available at the Symposium. Submit papers or extended abstracts to: Program Co-Chairs, 4th UNB AI Symposium Brad Nickerson or Lev Goldfarb E-mail: bgn@unb.ca or goldfarb@unb.ca Submit tutorial proposals to: Bruce Spencer or Przemyslaw Pochec Tutorial Co-Chairs, 4th UNB AI Symposium E-mail: bspencer@unb.ca or pochec@unb.ca Submit exhibit requests to: Kirby Ward Exhibits Chair, 4th UNB AI Symposium E-mail: wardk@unb.ca The mailing address, phone and fax numbers for the above are as follows: Faculty of Computer Science, University of New Brunswick P.O. Box 4400, Fredericton, N.B., Canada E3B 5A3 Phone: (506) 453-4566 Fax: (506) 453-3566 It is planned to hold the CKEd (Certified Knowledge Engineer) examination on Sept. 19, 1991 at the Symposium location. Symposium participants wishing to take the examination should contact the IAKE at International Associaton of Knowledge Engineers Georgetown P.O. Box 25461, Washington, D.C. 20007, U.S.A. ph: 301 231 7826 fax: 301 770 4621 E-mail: IAKE@UC780.bitnet ------------------------------ End of Neuron Digest [Volume 7 Issue 22] ****************************************