You are invited to attend the 14th annual conference of NIPS*2001,
Neural Information Processing Systems, at the Hyatt Regency in Vancouver,
British Columbia, Canada and workshops at the Whistler ski resort near
Vancouver.
http://www-2.cs.cmu.edu/Groups/NIPS/
Tutorials: December 3, 2001
Conference: December 4-6, 2001
Workshops: December 6-8, 2001
The DEADLINE for reduced early registration fees is November 2, 2001.
Registration can now be made online through a secure credit card link or
through bank wire transfer, fax, and check:
https://www.nips.salk.edu/regist.html
Because the number of submissions this year increased to 650, we were able to
accept 173 and maintain the same high standards:
http://www-2.cs.cmu.edu/Groups/NIPS/NIPS2001/nips-program.html
All registrants this year will receive a CD-ROM of the conference proceedings,
which will also be available free online. The 2 volume soft-cover format,
published by the MIT Press, can be purchased at a special conference rate.
The last month has been a difficult time for everyone. The organizing
committee for NIPS*2001 has been working hard to ensure that the program and
facilities for the annual meeting are better than ever. Vancouver is a
beautiful city with many excellent restaurants within a short walk of
the conference. The base at Whistler is at 2,200 feet, substantially lower
than ski resorts in Colorado.
We hope you will join us in Vancouver for an exciting new NIPS*2001
Terry Sejnowski
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NIPS*2001
TUTORIALS - December 3, 2001
Luc Devroye, McGill University - Nonparametric Density Estimation:
VC to the Rescue
Daphne Koller, Stanford, and Nir Friedman, Hebrew University -
Learning Bayesian Networks from Data
Shawn Lockery, University of Oregon - Why the Worm Turns:
How to Analyze the Behavior of an Animal and Model Its Neuronal Basis
Christopher Manning, Stanford University - Probabilistic Linguistics and
Probabilistic Models of Natural Language Processing
Bernhard Scholkopf, Biowulf Technologies and Max-Planck Institute for
Biological Cybernetics - SVM and Kernel Methods
Sebastian Thrun, Carnegie Mellon University - Probabilistic Robotics
INVITED SPEAKERS - December 4-6, 2001
Barbara Finlay, Cornell University - How Brains Evolve, and the
Consequences for Computation
Alison Gopnik, UC Berkeley - Babies and Bayes-nets: Causal Inference and
Theory-formation in Children, Chimps, Scientists and Computers
Jon M. Kleinberg, Cornell University - Decentralized Network Algorithms:
Small-world Phenomena and the Dynamics of Information
Tom Knight, MIT - Computing with Life
Judea Pearl, UCLA - Causal Inference As an Exercise in Computational Learning
Shihab Shamma, U. Maryland - Common Principles in Auditory and Visual
Processing
WORKSHOPS - December 6-8, 2001
Activity-Dependent Synaptic Plasticity - Paul Munro
Artificial Neural Networks in Safety-Related Areas - Johann Schumann
Brain-Computer Interfaces - Lucas Parra
Causal Learning and Inference in Humans & Machines - Joshua B. Tenenbaum
Competition: Unlabeled Data for Supervised Learning - Stefan C. Kremer
Computational Neuropsychology - Mike Mozer
Geometric Methods in Learning - Amir H. Assadi
Information & Statistical Structure in Spike Trains - Jonathon D. Victor
Kernel-Based Learning - John Shawe-Taylor and Craig Saunders
Knowledge Representation in Meta-Learning - Ricardo Vilalta
Machine Learning in Bioinformatics - Colin Campbell, Sayan Mukherjee
Machine Learning Methods for Text and Images - Jaz Kandola
Minimum Description Length - Peter Grunwald
Multi-sensory Perception & Learning - Ladan Shams, John Fisher
Neuroimaging: Tools, Methods & Modeling - Steve Hanson
Occam's Razor & Parsimony in Learning - David Stork
Preference Elicitation - David Poole
Quantum Neural Computing - Elizabeth Behrman
Variable & Feature Selection - Isabelle Guyon
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This archive was generated by hypermail 2b29 : Thu Oct 11 2001 - 12:03:08 PDT