Benjamin Van Roy bvr at
Fri Apr 28 19:33:29 EST 2000


Neural Information Processing Systems
Natural and Synthetic
Monday,  Nov. 27 -- Saturday, Dec. 2, 2000
Denver, Colorado

This is the fourteenth meeting of an interdisciplinary conference
which brings together cognitive scientists, computer scientists,
engineers, neuroscientists, physicists, statisticians, and
mathematicians interested in all aspects of neural processing and
computation.  The conference will include invited talks as well as
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 (Nov. 27), and following

it there will be two days of focused workshops on topical issues at a
nearby ski area (Dec. 1-2).  Tutorials will include: Population Codes
(Richard Zemel, U. of Toronto), Linking Brain to Behavior (Stephen
Grosberg, Boston U.), Markov Chain Monte Carlo (Andrew Gelman,
Columbia U.), Visual Attention (Harold Pashler, UCSD) and more!

Major categories for paper submission, with example subcategories
(by no means exhaustive), are listed below.  A special area of
emphasis this year is innovative applications of neural computation.

Algorithms and Architectures: supervised and unsupervised
learning algorithms, feedforward and recurrent network architectures,
localized basis functions, mixture models, committee models, belief
networks, graphical models, support vector machines, Gaussian
processes, topographic maps, decision trees, factor analysis,
principal component analysis and extensions, independent component
analysis, model selection algorithms, combinatorial optimization,
hybrid symbolic-subsymbolic systems.

Applications: innovative applications of neural computation
including data mining, information retrieval, web and network
applications, intrusion detection, fraud detection, bio-informatics,
medical diagnosis, image processing and analysis, handwriting
recognition, industrial monitoring and control, financial analysis,
time-series prediction, consumer products, music, video and artistic
applications, animation, virtual environments, learning dynamical

Cognitive Science/Artificial Intelligence: perception and
psychophysics, neuropsychology, cognitive neuroscience, development,
conditioning, human learning and memory, attention, language,
natural language, reasoning, spatial cognition, emotional cognition,
conceptual representation, neurophilosophy, problem solving and

Implementations: analog and digital VLSI, optical neurocomputing
systems, novel neurodevices, computational sensors and actuators,
simulation tools.

Neuroscience: neural encoding, spiking neurons, synchronicity,
sensory processing, systems neurophysiology, neuronal development,
synaptic plasticity, neuromodulation, dendritic computation, channel
dynamics, experimental data relevant to computational issues.

Reinforcement Learning and Control: exploration, planning,
navigation, Q-learning, TD-learning, state estimation, dynamic
programming, robotic motor control, process control, Markov decision

Speech and Signal Processing: speech recognition, speech coding,
speech synthesis, speech signal enhancement, auditory scene analysis,
source separation, applications of hidden Markov models to signal
processing, models of human speech perception, auditory modeling
and psychoacoustics.

Theory: computational learning theory, statistical physics of
learning, information theory, Bayesian methods, prediction and
generalization, regularization, online learning (stochastic
approximation), dynamics of learning, approximation and estimation
theory, complexity theory, multi-agent learning.

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


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 new to NIPS are
strongly encouraged to submit their work, and will be given preference
for oral presentations.  Authors should not be dissuaded from
submitting recent work, as there will be an opportunity after the
meeting to revise accepted manuscripts before submitting a final
camera-ready copy for the proceedings.

Paper Format: Submitted papers may be up to seven pages in length,
including figures and references, using a font no smaller than
10 point. Text is to be confined within a 8.25in by 5in rectangle.
Submissions failing to follow these guidelines will not be considered.
Authors are required to use the NIPS LaTeX style files obtainable by
anonymous FTP at the site given below. THE STYLE FILES HAVE BEEN
UPDATED; please make sure that you use the current ones and not
previous versions.

Submission Instructions: NIPS has migrated to electronic
submissions.  Full submission instructions will be available at
the web site given below.  You will be asked to enter paper title,
names of all authors, category, oral/poster preference, and contact
author data (name, full address, telephone, fax, and email).  You
will upload your manuscript from the same page.  We are only accepting
postscript manuscripts.  No pdf files will be accepted this year.
The electronic submission page will be available on April 28, 2000.

Submission Deadline:


The LaTeX style files for NIPS, the Electronic Submission Page, and
other conference information are available on the World Wide Web at

Copies of the style files are also available via anonymous ftp at (

in /afs/cs/Web/Groups/NIPS/formatting.

For general inquiries or requests for registration material, send
e-mail to

nipsinfo at or fax to (619)587-0417.

NIPS*2000 Organizing Committee:
General Chair, Todd K. Leen, Oregon Graduate Institute;
Program Chair, Tom Dietterich, Oregon State University;
Publications Chair, Volker Tresp, Siemens AG;
Tutorial Chair, Mike Mozer, University of Colorado;
Workshops Co-Chairs, Rich Caruana, Carnegie Mellon University,
Virginia de Sa, Sloan Center for Theoretical Neurobiology;
Publicity Chair, Benjamin Van Roy, Stanford University;
Treasurer, Bartlett Mel, University of Southern California;
Web Masters, Doug Baker and Alex Gray, Carnegie Mellon University;
Government Liaison, Gary Blasdel, Harvard Medical School;
Contracts, Steve Hanson, Rutgers University,
Scott Kirkpatrick, IBM, Gerry Tesauro, IBM.

NIPS*2000 Program Committee:
Leon Bottou, AT&T Labs - Research;
Tom Dietterich, Oregon State University (chair);
Bill Freeman, Mitsubishi Electric Research Lab;
Zoubin Ghahramani, University College London;
Dan Hammerstrom, Oregon Graduate Institute;
Thomas Hofmann, Brown University;
Tommi Jaakkola, MIT;
Sridhar Mahadevan, Michigan State University;
Klaus Obermeyer, TU Berlin;
Manfred Opper, Aston University;
Yoram Singer, Hebrew University of Jerusalem;
Malcolm Slaney, Interval Research;
Josh Tenenbaum, Stanford University;
Sebastian Thrun, Carnegie Mellon University.


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