Snowbird, Utah, April 10-13, 2001


Poster Session A (Wednesday April 11th, 7:00-8:00PM)

Ron Sun (University of Missouri)
Beyond Simple Rule Extraction
Olivier Chapelle, Bernhard Scholkopf (AT&T and Barnhill Technologies)
Incorporating invariances in non-linear SVMs
Evgenia Dimitriadou, Kurt Hornik & Andreas Weingessel
Combining Cluster Ensembles
Derek Harter, Robert Kozmak and Stanley P. Franklin (University of Memphis)
Models of Ontogenetic Development: The Dynamics of Learning
Mark Embrechts (Rensselaer Polytechnic Institute)
Multi-variate snsitivity analysis for feature selection for in-silico drug design
Hans­Georg Zimmermann, Ralph Neuneier, and Ralph Grothmann (Siemens)
Identification and Forecasting of Partially Observable High Dimensional Dynamical Systems
Jurgen Schmidhuber (IDSIA)
Inductive Inference in a Frugal Creator's Universe
Nicol N. Schraudolph (IDSIA)
Two Orders for the Price of One
Shiro Ikeda, Toshiyuki Tanaka, Shun­ichi Amari (PRESTO, JST & Kyushu Inst. Tech., TokyoMetro U., RIKEN)
Information geometry of turbo code, Gallager code, and belief propagation
Valery Petrushin (Accenture)
Customer modeling and prediction
Tai Sing Lee (CMU)
Plasticity in Early Visual Processing

Poster Session B (Wednesday April 11th, 8:00-9:00PM)

Arthur Fridman (Merck Research Labs)
The max-product algorithm in the Ising model
David Barber (Aston)
Sparse Multi-layer Belief Networks
Harri Valpola (Helsinki University of Technology)
Learning Hidden Dynamical Systems
Richard S. Sutton (AT&T Labs), Doina Precup (McGill)
Off­Policy Temporal­Difference Learning with Function Approximation
Lawrence K. Saul (AT&T Labs) Daniel D. Lee (Bell Labs)
Discriminative Mixture Modeling: Classification by Prototypes, Saddletypes, and Antitypes
Thorsten Joachims (GMD)
The Web as the Bias
Jorg Kindermann, Edda Leopold, Gerhard Paass (GMD)
Multiclass Classification with Support Vector Machines and Error Correcting Codes
Tom Heskes, Geert Grooteplein (U. Nijmegen)
Minimizing the KL-divergence for multi-layered perceptrons
Elad Schneidman, Noam Slonim, William Bialek Rob de Ruyter van Steveninck and Naftali Tishby (Hebrew University)
Analyzing and comparing neural codes using the information bottleneck method
Vladimir Pavlovic, Simon Kasif (Compaq)
Learning Improved Gene Prediction
Andy Wright (BAE Systems)
Learning in sequential multi­agent cooperative games
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic and Alex Pentland (MIT Media Lab and Compaq)
Multimodal Speaker Detection Using Boosted Dynamic Bayesian Networks

Poster Session C (Thursday April 12th, 7:00-8:00PM)

Bin Yu (UC Berkeley)
Understanding Boosting
Hansen F. Chen Patrick S. Huggins Peter N. Belhumeur Steven W. Zucker (Yale)
Photometric Statistics of Occlusion Edges
Patrick Haffner (AT&T Labs­Research)
Double Margin SVMs
J. M. Gold, R. F. Murray, A. B. Sekuler & P. J. Bennett (Toronto)
Learning Optimizes the Behavioral Receptive Fields Underlying Pattern Discrimination
Hagai Attias (Microsoft)
A Multilevel Architecture and an E#cient Learning Algorithm for Bayesian Networks
Barak A. Pearlmutter, Yaroslav O. Halchenko (U. New Mexico)
Optimizing the Empirical Robustness of Blind Source Separation
Dale Schuurmans and Relu Patrascu (University of Waterloo)
Automated bias+variance control for temporal difference estimation
Bert Kappen (University of Nijmegen)
Attractor neural networks with dynamical synapses
Howard Yang and Maxwell Lee (National Cancer Institute)
Analysis of Similarity and Difference among Conserved Sequences from Imprinted Domains of Mouse and Human Chromosomes
Charles Dugas (U. Montreal)
MSE Optimal Model Weighting
Ion Muslea, Steven Minton, Craig A. Knoblock (USC and Fetch Technologies)
Robust Multi-View Learning with Co-TestEM
Matthieu Stricker and Gerard Dreyfus (Caisse des Depot and ESPCI)
A Learning­Based Approach to Automatic Custom Information Filter
Volker Tresp (Siemens)
Scalable Kernel Systems

Poster Session D (Thursday April 12th, 8:00-9:00PM)

Lyle H. Ungar, Greg Z. Grudic (U. of Pennsylvania)
Exploiting Secondary Reinforcers in Reinforcement Learning
Holger Schwenk (LIMSI­CNRS)
Evaluation of a Connectionnist Language Model for Large Vocabulary Continuous Speech Recognition
Roland Vollgraf, Klaus Obermayer (Technische Universitat, Berlin)
Dependent Component Analysis for the Blind Separation of Correlated Sources
Thomas Hofmann and Ioannis Tsochantaridis (Brown U.)
Polycategorical Classification
O. Cicchello and S.C. Kremer
Assumption Avoidance Driven State Merging
Moises Goldszmidt and Bikash Sabata (Peakstone Corporation)
Machine Learning for Capacity Planning and System Characterization
Manfred Opper, Ole Winther (Aston U. and TU Denmark)
The TAP approximation for probabilistic models revisited: A general adaptive approach
Pascal Vincent (U. Montreal)
Local Hyperplane and Convex Distance Nearest Neighbor Algorithms with Margin Based Pattern Selection
Matej Oresic (LION Bioscience Research)
Mining the biological literature for gene{gene and gene{phenotype associations
Rich Caruana (CMU)
Unabridged Learning and Feature Boosting
Yann LeCun (AT&T Labs ­ Research)
Invariant Perception with Differential Training
Joseph G. Billock, Demetri Psaltis, Christof Koch, and Yaser Abu­Mostafa (Caltech)
The Match Fit Algorithm: a Testbed for the Computational Motivation of Attention