neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (11/24/90)
Neuron Digest Friday, 23 Nov 1990
Volume 6 : Issue 67
Today's Topics:
Intelligent Control Conference
Announcing a NIPS '90 workshop comparing decision trees and neural nets
CALL FOR PAPERS
Fwd: CALL FOR PAPERS
Permanent Lectureship
neural net position available
NIPS VLSI post conference workshop
Neural Network Session at IMACS World Congress, Dublin
Post NIPS Conference Workshop on Cortical Oscillations
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: Intelligent Control Conference
From: KOKAR@northeastern.edu
Date: Fri, 09 Nov 90 12:09:00 -0500
CALL FOR PAPERS
1991 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL
August 13-15,1991
Key Bridge Marriott
Arlington, Virginia
Sponsored by the IEEE Control Systems Society
General Chairman: Harry E. Stephanou,
Rensselaer Polytechnic lnstitute
Program Chairman: Alexander H. Levis,
George Mason University
Finance Chairman: Elizabelh R. Ducot,
MlT Lincoln Labs
Registration Chairman : Umit Ozguner,
Ohio State University
Publications Chairman: Mieczyslaw Kokar,
Northeastern University
Local Arrangements: James E. Gaby,
UNYSlS Corporation
The 6th IEEE International Symposium on Intelligent Control (ISIC 91 )
will be held in conjunction with the 1991 IFAC Symposium on Distributed
Intelligence Systems. Registrants in either symposium will be able to
attend all technical and social events in both symposia and will receive
preprint volumes from both.
The ISIC 91 theme will be "Integrating Quantitative and Symbolic
Processing". The design and analysis of automatic control systems have
traditionally been based on rigorous, numerical techniques for modeling
and optimization. Conventional controllers perform well in the presence
of random disturbances, and can adapt to relatively small changes in
fairly well known environments. Intelligent controllers are designed to
operate in unknown environments and, therefore, require much higher
levels of adaptation to unexpected events. They are also required to
process and interpret large quantities of sensor data, and use the
results for action planning or replanning. The design of intelligent
controllers, therefore, incorporates heuristic and/or symbolic tools from
artificial intelligence. Such tools which have traditionally been
applied to open-loop, off-line problems, must now be integrated into the
perception-reasoning-action closed loop of intelligent controllers.
Effective methods for the integration of numerical and symbolic
processing schemes are needed. Robustness and graceful degradation
issues must be addressed. Reconfigurable feedback loops at varying
levels of abstraction should be considered.
Papers are being solicited ior presentation at the Symposium and
publication in the Symposium Proceedings. Topics include, but are not
limited to, the following:
Intelligent control architectures Reasoning under uncertainty
Self-organizing systems Sensor-based robot control
Fault detection and error recovery Cellular robotics
Intelligent manufacturing control Microelectro-mechanical
systems systems
Discrete event systems Variable precision reasoning
Concurrent engineering Active sensing and perception
Neural network controllers Multisensor data fusion
Hierarchical controllers Intelligent inspection
Learning control systems Intelligent database systems
Autonomous control systems Microelectronics,advanced materials,
Knowledge representation for and other novel applications
real-time processing
Five copies of papers should be sent by February 15,1991 to:
Professor Alexander H. Levis
Dept. of ECE
George Mason University
Fairfax, VA 22030-4444
Telephone: 703-764-6282
A separate cover sheet with the name of the corresponding author,
telephone and fax numbers, and e-mail address should also be included.
Authors will be notified of acceptance by April 15, 1991. Accepted
papers, in final camera ready form, will be due on May 15, 1991.
Proposals for invited sessions and tutorial workshops are also solicited.
Cohesive sessions focusing on successful applications are particularly
encouraged. Requests for additional information and proposal submissions
(by February 15, 1991) should be addressed to Professor Levis.
Symposium Program Committee:
Suguru Arimoto, University of Tokyo Vivek V, Badami, General Electric
John Baras, University of Maryland Research Lab
Piero Bonissone, General Electric Hamid Berenji, NASA Ames
Research Lab V.T. Chien, National Science
David B. Cooper, Brown University Foundation
David A. Dornfeld, University Kenneth J. DeJong, George Mason
of California, Berkeley University
Judy A. Franklin, GTE Laboratories Masakazu Ejiri, Hitachi
Janos Gertler, George Mason Univesity Roger Geesey, BDM International
Roderic Grupen, University of George Giralt, LAAS
Massachusetts William A. Gruver, University of
Susan Hackwood, University of Kentucky
California, Riverside Thomas Henderson, Uiversity of Utah
Joseph K. Kearney, University of Pradeep Khosla, Carnegie Mellon
Iowa University
Yves Kodratoff, Universite de Paris Benjamin Kuipers, University of Texas,
Michael B. Leahy, Air Force Institute Austin
of Technology Gaston H. Lefranc, Universidad Catolica
Ramiro Liscano, Nat'l Research Council Valparaiso
of Canada Ronald Lumia, NIST
Yukio Mieda, Honda Engineering Co.,Ltd Thang N. Nguyen, IBM Corporation
Kevin M. Passino, Ohio State Michael A.Peshkin, Northwestern
University University
Roger T. Schappell, Martin Marietta Yoshiaki Shirai, Osaka University
Marwan Simaan, University of Janos Sztipanovits, Vanderbilt
Pittsburgh University
Zuheir Tumeh, General Motors Research Kimon P. Valavanis, Northeastern
Labs University
Agostino Villa, Politecnico di Torino John Wen, Rensselaer Polytechnic
Institute
------------------------------
Subject: Announcing a NIPS '90 workshop comparing decision trees and neural nets
From: "Lorien Y. Pratt" <pratt@paul.rutgers.edu>
Date: Tue, 13 Nov 90 09:18:42 -0500
Neural Networks and Decision Tree Induction:
Exploring the relationship between two research areas
A NIPS '90 workshop, 11/30/1990 or 12/1/1990, Keystone, Colorado
Workshop Co-Chairs:
L. Y. Pratt and S. W. Norton
The fields of Neural Networks and Machine Learning have evolved
separately in many ways. However, close examination of multilayer
perceptron learning algorithms (such as Back-Propagation) and decision
tree induction methods (such as ID3 and CART) reveals that there is
considerable convergence between these subfields. They address similar
problem classes (inductive classifier learning) and can be
characterized by a common representational formalism of hyperplane
decision regions. Furthermore, topical subjects within both fields are
related, from minimal trees and network reduction schemes to
incremental learning.
In this workshop, invited speakers from the Neural Network and
Machine Learning communities will discuss their empirical and
theoretical comparisons of the two areas, and then present work at
the interface between these two fields which takes advantage of the
potential for technology transfer between them. In a discussion
period, we'll discuss our conclusions, comparing the methods along
the dimensions of representation, learning, and performance. We'll
debate the ``strong convergence hypothesis'' that these two
research areas are really studying the same problem.
Schedule of talks:
AM:
7:30-7:50 Lori Pratt Introductory remarks
7:50-8:10 Tom Dietterich Evidence For and Against Convergence:
Experiments Comparing ID3 and BP
8:15-8:35 Les Atlas Is backpropagation really better than
classification and regression trees?
8:40-9:00 Ah Chung Tsoi Comparison of the performance of some popular
machine learning algorithms: CART, C4.5, and
multi-layer perceptrons
9:05-9:25 Ananth Sankar Neural Trees: A Hybrid Approach to Pattern
Recognition
PM:
4:30-4:55 Stephen Omohundro A Bayesian View of Learning with Tree
Structures and Neural Networks
5:00-5:20 Paul Utgoff Linear Machine Decision Trees
5:25-5:45 Terry Sanger Basis Function Trees as a Generalization of
CART, MARS, and Other Local Variable Selection
Techniques
5:50-6:30 Discussion, wrap-up
- ---------------------------------------------------------------------------
L. Y. Pratt S. W. Norton
pratt@paul.rutgers.edu, norton@learning.siemens.com
Rutgers University Computer Science Dept. Siemens Corporate Research
New Brunswick, NJ 08903. 755 College Road East
(201) 932-4634 Princeton, NJ 08540
(609) 734-3365
------------------------------
Subject: CALL FOR PAPERS
From: "Centro de Inteligencia Artificial(ITESM)" <ISAI@TECMTYVM.MTY.ITESM.MX>
Date: Tue, 13 Nov 90 18:25:06 -0600
Please include the following information in your bulletin board.
Thank you in advance.
Sincerely,
The Symposium Publicity Committee.
======================================================================
INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE
APPLICATIONS IN INFORMATICS:
Software Engineering, Data Base Systems, Computer Networks,
Programming Environments, Management Information Systems,
Decision Support Systems.
C A L L F O R P A P E R S
Preliminary Version.
The Fourth International Sysmposium on Artificial Intelligence
will be held in Cancun Mexico on November 13-15, 1991.
The Symposium is sponsored by the ITESM (Instituto Tecnologico
y de Estudios Superiores de Monterrey) in cooperation with the
International Joint Conferences on Artificial Intelligence Inc.,
the American Association for Artificial Intelligence,
the Canadian Society for Computational Studies of Intelligence,
the Sociedad Mexicana de Inteligencia Artificial and IBM of Mexico.
Papers from all countries are sought that:
(1) Present applications of artificial intelligence technology
to the solution of problems in Software Engineering, Data
Base Systems, Computer Networks, Programming Environments,
Management Information Systems, Decision Support Systems
and other Informatics technologies; and
(2) Describe research on techniques to accomplish such applications,
(3) Address the problem of transfering the AI Technology in
different socio-economic contexts and environments.
Areas of application include but are no limited to:
Software development, software design, software testing and
validation, computer-aided software engineering, programming
environments, structured techniques, intelligent databases,
operating systems, intelligent compilers, local networks,
computer network design, satellite and telecommunications,
MIS and data processing applications, intelligent decision
support systems.
AI techniques include but are not limited to:
Expert systems, knowledge acquisition and representation,
natural language processing, computer vision, neural
networks and genetic algorithms, automated learning,
automated reasoning, search and problem solving,
knowledge engineering tools and methodologies.
Persons wishing to submit a paper should send five copies written
in English to:
Hugo Terashima, Program Chair
Centro de Inteligencia Artificial, ITESM.
Ave. Eugenio Garza Sada 2501, Col.Tecnologico
C.P. 64849 Monterrey, N.L. Mexico
Tel.(52-83) 58-2000 Ext.5134
Telefax (52-83) 58-1400 Dial Ext.5143 or 58-2000 Ask Ext.5143
Net address: ISAI@tecmtyvm.bitnet or ISAI@tecmtyvm.mty.itesm.mx
The paper should identify the area and technique to which it
belongs. Extended abstract is not required. Use a serif type font,
size 10, sigle-spaced with a maximum of 10 pages. No papers will be
accepted by electronic means.
Important dates:
Papers must be received by April 30,1991. Authors will be
notified of acceptance or rejection by June 15,1991. A final copy
of each accepted paper, camera ready for inclusion in the Symposium
proceedings, will be due by July 15,1991.
------------------------------
Date: Wed, 14 Nov 90 13:16:00 EST
From: Charles Wilson x2080 <wilson@magi.ncsl.nist.gov>
Organization: National Institute of Standards and Technology
formerly National Bureau of Standards
Subject: CALL FOR PAPERS
CALL FOR PAPERS
PROGRESS IN NEURAL NETWORKS
This is a call for papers for Special Volume of the
Progress In Neural Networks Series. This volume will
concentrate on software implementation of neural
networks, natural and synthetic. Contributions from
leading researchers and experts will be sought. This
series is intended for a wide audience, including those
professionally involved in neural network research, such
as lecturers and primary investigators in neural
computing, neural modeling, neural learning, neural
memory, and neurocomputers.
Authors are invited to submit an abstract, extended
summary, or manuscripts describing recent progress in
theoretical analysis, modeling, or design of neural
network architecture. The manuscripts should be self
contained and of a tutorial nature. Suggested topics
include, but are not limited to:
* Parallel Architectures
* Distributed Architectures
* Hybrid Architectures
* Parallel Learning Models
* Connectionist Architectures
* Associative Memory
* Self Organizing and Adaptive Systems
* Neural Net Language)to)Architecture Translation
Ablex and the editors invite you to submit an
abstract, extended summary, or manuscript proposal for
consideration. Please contact the editors directly.
Omid M. Omidvar, Associate Professor Charles L. Wilson, Manager
Progress Series Editor Associate Volume Editor
University of the District of Columbia Image Recognition Group
Computer Science Department Advanced Systems Division
4200 Connecticut Avenue, N.W. National Inst. of Tech & Stand.
Washington, D.C. 20008 Gaithersburg, Maryland 20899
Tel:(202)282-7345 Fax:(202)282-3677 Tel:(301)975-2080 Fax:(301)590-0932
Email: OOMIDVAR@UDCVAX.BITNET Email:Wilson@MAGI.NCSL.NIST.GOV
Publisher:Ablex Publishing Corp.,355 Chestnut St.,
Norwood,NJ 07648 (201)767)8450
------------------------------
Subject: Permanent Lectureship
From: "R.J. Watt" <watt@compsci.stirling.ac.uk>
Date: Fri, 16 Nov 90 16:07:01 +0000
University of Stirling, Scotland
Department of Psychology
Centre for Cognitive and Computational Neuroscience (CCCN)
We have a permanent post available for a
LECTURER: M. Sc. in NEURAL COMPUTATION
This new one-year M. Sc. will begin Sept 1991, and will cover a wide
variety of topics in neural computation with vision as a major
specialisation.
The person appointed will have a major responsibility for running the
course, and for teaching the vision components, and will also be
exepected to have an active research program.
The CCCN is multidisciplinary and includes staff from the Departments of
Psychology, Computing Science and Mathematics.
Starting date: 1 July 1991
Salary on scale UKL 12,086 - UKL 22,311
Applications (initially by by email, fax or snail-mail) including a CV
with names and addresses (inc e-mail if poss) of 2 referees to
Prof R. J. Watt, Psychology Dept.,
University of Stirling, FK9 4LA Scotland
tel: 0786 67665
fax : + 44 786 63000
e-mail: watt@cs.stir.ac.uk
by 26 Nov 1990.
Further particulars and information from Prof Watt.
The University of Stirling is an equal opportunities employer.
------------------------------
Subject: neural net position available
From: Dave.Touretzky@DST.BOLTZ.CS.CMU.EDU
Date: Sat, 17 Nov 90 00:46:56 -0500
I'm posting this position announcement as a favor to the Navy. I have no
additional information to what appears below, so contact Dr. Lorey, not
me, if you have questions.
-- Dave
................................................................
Subj: POSITION DESCRIPTION
1. The Naval Surface Warfare Center is seeking to expand its
operations in basic research in Artificial Neural Nets to
compliment the ongoing applied work. A new thrust in basic
research is seeking to augment the existing staff with one or two
new hires. Preference will be given candidates who will soon
complete their PhD work but Masters candidates will be considered.
We are also interested in filling at least one summer faculty
position. Neural Network experience is a must for all positions.
The full-time and summer positions will join the current staff of
five--two with PhDs, two with Masters.
2. The ongoing research areas include: multi-sensor fusion,
image/data compression, image processing, optimization,
development of new learning rules for existing architectures and
development of schemes to embed networks in multi-chip simulation
systems.
3. Equipment on hand:
4 Sun Workstations
1 Alliant FX40 Minisuper Computer with 2 Compote engines
1 Silicon Graphics 4D/220GTXB Graphics Workstation
4. Planned positions(s) will encompass work in the following
areas:
-route planning for autonomous vehicles,
-improvement of existing (Hopfield, Boltzmann machines) and
-development of new network architectures for optimization,
-development/implementation of networks for low-level vision
processing, and
-evaluation/integration of neural network processing chips
5. Planned procurements:
2 Silicon Graphics 4D/35TG
1 Terrain board
1 Silicon Graphics 4D1340VGXB
1 VME Sun Expansion box
1 VME SG Expansion box
1 Breadboard table
Video capability
5. Technical questions regarding ongoing work at the Center may
be addressed to Dr. George Rogers or Mr. Jeffrey Solka at 703-663-
7650.
6. Interested candidates should submit their resume to
Dr. Richard Lorey (703-663-8159) at MILNET address:
rlorey@ relay.nswc.navy.mil
or via mail to:
Commander
Naval Surface Warfare Center
Code K12 (Dr. Richard Lorey)
Dahlgren, VA 22448-5000
7. ELIGIBILITY FOR SECRET LEVEL CLEARANCES MANDATORY - RESUME
SHOULD INDICATE U.S. CITIZENSHIP STATUS.
/s/
Dr. Richard Lorey
------------------------------
Subject: NIPS VLSI post conference workshop
From: Jim Burr <burr@mojave.stanford.edu>
Date: Fri, 16 Nov 90 21:54:20 -0800
This year's post conference workshop on VLSI neural nets will be held
Saturday, Dec 1. There will be a morning and an evening session. The
workshop will address the latest advances in VLSI implementations of
neural nets. How successful have implementations been so far? Are
dedicated neurochips being used in real applications? What algorithms
have been implemented? Which ones have not been? Why not? How important
is on chip learning? How much arithmetic precision is necessary? Which
is more important, capacity or performance? What are the issues in
constructing very large networks? What are the technology scaling limits?
Any new technology developments?
Several invited speakers will address these and other questions from
various points of view in discussing their current research. We will try
to gain better insight into the strengths and limitations of dedicated
hardware solutions.
Jim Burr
burr@mojave.stanford.edu
------------------------------
Subject: Neural Network Session at IMACS World Congress, Dublin
From: Soo Young Lee <sylee@eekaist.kaist.ac.kr>
Date: Sun, 18 Nov 90 16:35:01 -0800
I am trying to organize "Neural Networks for Numerical Computation"
session at the 13th IMACS World Congress on Computation and Applied
Mathematics held at Dublin, Ireland, July 22-26, 1991. IMACS is an
international association of professionals and scientists concerned with
computers, computation and applied mathematics, in particular as they
apply to the study and simulation of systems. IMACS's primary thrust is
today in the general direction of Scientific Computing, which includes as
specific topics Computational and Applied Mathematics, Mathematical
Modelling, their applications in such areas as Computational Fluid
Dynamics and Computational Physics, as well as all the hardware and
software tools which form the backbone of this all too important field of
modern applied science. The session will be devoted to new developments,
both in theory and applications, of neural network technology related to
these important area.
Anyone interested in presenting paper(s) is encouraged to submit title
and abstract of the paper(s) to sylee%eekaist.kaist.ac.kr@relay.cs.net
or Prof. Soo-Young Lee
Computation and Neural Systems Lab.
Dept. of EE, Korea Advanced Institute of Science and Technology
P.O. Box 150 Chongryangni
Seoul, KOREA
Fax: 82-2-960-2103
by Janauary 15th, 1991. Early submission or contact will be greatly
appreciated.
If accepted, usually within 2 weeks after submission, the authors are
expected to submit 2-page camera-ready manuscripts in IEEE 2-column
format by March 15th, 1991.
Soo-Young Lee
Associate Professor
------------------------------
Subject: Post NIPS Conference Workshop on Cortical Oscillations
From: Ernst Miebur <ernst@russel.cns.caltech.edu>
Date: Mon, 19 Nov 90 11:48:36 -0800
NIPS Post Conference Workshop #1:
Oscillations in Cortical Systems
40-60 Hz oscillations have long been reported in the rat and rabbit
olfactory bulb and cortex on the basis of single-and multi-unit
recordings as well as EEG activity. Periodicities in eye movement
reaction times as well as oscillations in the auditory evoked potential
in response to single click or a series of clicks all support a 30-50 Hz
framework for aspects of cortical activity and possibly cortical
information processing. Recently, highly synchronized, stimulus specific
oscillations in the 35-85 Hz range were observed in areas 17, 18 and PMLS
of anesthetized as well as awake cats. Neurons with similar orientation
tuning up to 10 mm apart, even across the vertical meridian (i.e. in
different hemispheres) can show phase-locked oscillations.
Organization of the workshop will favor interaction between participants
as much as possible. To set a framework, introductory talks will be
presented. Speakers include
J. Bower (Caltech): Experiments
B. Ermentrout (U. Pittsburgh): Coupled Oscillators
E. Niebur (Caltech): Models
D. Schwenders (U. Munich): Psychophysics
If you plan to present your work during a 5-10 minute talk, I would
appreciate sending me a notice, although ``walk-ins'' are welcome.
Topics that will be discussed include
- possible functions of cortical oscillations,
- crucial experiments to elucidate these functions,
- mechanisms for long-range synchronization.
Ernst Niebur
Computation and Neural Systems
Caltech 216-76
Pasadena, CA 91125
ernst@descartes.cns.caltech.edu
(818)356-6885
------------------------------
End of Neuron Digest [Volume 6 Issue 67]
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