NIPS*97 Program

[Tony Bell]

---------------------------------------------------------------------

The following is a complete list of papers accepted to NIPS*97, along
with the preliminary schedule.

Michael Kearns
NIPS*97 Program Chair


***** TUESDAY, DECEMBER 2: MORNING ORAL SESSION I *****

DNA^2 DNA Computation: A Potential Killer Application?
        Richard Lipton, Princeton University and Bellcore Research
        (Invited Talk)

Incorporating Contextual Information in White Blood Cell Identification 
        Xubo Song and Joseph Sill, California Institute of Technology
        Harvey Kasdan, International Remote Imaging Systems
        (Oral Presentation)

Extended ICA Removes Artifacts from Electroencephalographic Recordings
        Tzyy-Ping Jung, Colin Humphries, and Te-Won Lee, Salk Institute
        Scott Makeig, Naval Health Research Center
        Martin J. McKeown, Salk Institute
        Vicente Iragui, UC San Diego
        Terrence J. Sejnowski, Salk Institute
        (Oral Presentation)

A Solution for Missing Data in Recurrent Neural Networks with 
an Application to Blood Glucose Prediction
        Volker Tresp and Thomas Briegel, Siemens
        (Poster Spotlight)

Reinforcement Learning for Call Admission Control in Routing
in Integrated Service Networks
        Peter Marbach, Massachusetts Institute of Technology 
        Oliver Mihatsch, Siemens
        Miriam Schulte, Technische Universitat Munchen
        John N. Tsitsiklis, Massachusetts Institute of Technology
        (Poster Spotlight)

Intrusion Detection with Neural Networks
        Jake Ryan, Risto Miikkulainen, and Meng-Jang Lin,
                University of Texas at Austin
        (Poster Spotlight)

Structure Driven Image Database Retrieval
        Jeremy S. De Bonet and Paul Viola, Massachusetts Institute of
Technology
        (Poster Spotlight)

Analog VLSI Model of Intersegmental Coordination with Nearest-neighbor
Coupling
        Girish N. Patel, Jeremy H. Holleman and Stephen P. DeWeerth, 
                Georgia Institute of Technology
        (Poster Spotlight)

***** TUESDAY, DECEMBER 2: MORNING ORAL SESSION II *****

A Framework for Multiple-Instance Learning
        Oded Maron and Tomas Lozano-Perez, Massachusetts Institute of
Technology
        (Oral Presentation)

Hierarchical Non-linear Factor Analysis and Topographic Maps
        Zoubin Ghahramani and Geoffrey E. Hinton, University of Toronto 
        (Oral Presentation)

Learning Continuous Attractors in Recurrent Networks
        H. S. Seung, Bell Labs Lucent Technologies      
        (Oral Presentation)

Classification by Pairwise Coupling
        Trevor Hastie, Stanford University
        Robert Tibshirani, University of Toronoto
        (Poster Spotlight)

Agnostic Clustering of Markovian Sequences
        Ran El-Yaniv, Shai Fine and Naftali Tishby, Hebrew University
        (Poster Spotlight)

EM Algorithms for PCA and SPCA 
        Sam Roweis, California Institute of Technology
        (Poster Spotlight)

Training Methods for Adaptive Boosting of Neural Networks 
for Character Recognition
        Holger Schwenk and Yoshua Bengio, Universite de Montreal
        (Poster Spotlight)

Learning to Order Things
        William W. Cohen, Robert E. Schapire and Yoram Singer, 
                AT&T Labs
        (Poster Spotlight)

On Efficient Heuristic Ranking of Hypotheses
        Steve Chien, Andre Stechert and Darren Mutz, Jet Propulsion
Laboratory 
        (Poster Spotlight)

Estimating Dependency Structure as a Hidden Variable
        Marina Meila and Michael I. Jordan, 
                Massachusetts Institute of Technology
        (Poster Spotlight)

***** TUESDAY, DECEMBER 2: AFTERNOON ORAL SESSION *****

Learning in Rational Agents
        Stuart Russell, UC Berkeley
        (Invited Talk)

Visual Navigation in a Robot Using Zig-zag Behavior
        M. Anthony Lewis, University of Illinois        
        (Oral Presentation)

Nonparametric Model-based Reinforcement Learning
        Christopher G. Atkeson, Georgia Institute of Technology 
        (Oral Presentation)

Reinforcement Learning with Hierarchies of Machines
        Ron Parr and Stuart Russell, UC Berkeley        
        (Oral Presentation)

On the Infeasibility of Training Neural Networks with Small Squared
Error
        Van H. Vu, Yale University 
        (Poster Spotlight)

Data Dependent Structural Risk Minimization for Perceptron Decision
Trees
        John Shawe-Taylor and Nello Cristianini, University of London   
        (Poster Spotlight)

Generalization in Decision Trees and DNF: Does Size Matter?
        Mostefa Golea and Peter L. Bartlett, Australian National
University
        Wee Sun Lee, Australian Defence Force Academy
        (Poster Spotlight)

The Asymptotic Convergence Rate of Q-learning
        Cs. Szpesvari, Jozsef Attila University
        (Poster Spotlight)

An Improved Policy Iteration Algorithm for Partially Observable MDPs
        Eric A. Hansen, University of Massachusetts     
        (Poster Spotlight)

***** TUESDAY, DECEMBER 2: EVENING POSTER SESSION *****

(Note: contributed papers presented during Tuesday's oral sessions will
also have posters Tuesday evening.)

Gradients for Retinotectal Mapping
        Geoffrey J. Goodhill, Georgetown University

Incremental Learning with Sample Queries
        Joel Ratsaby, Nu Age Products

Analytical Study of the Interplay Between Architecture and
Predictability
        Avner Priel, Ido Kanter and D.A. Kessler, Bar Ilan University   

A 1,000-Neuron System with One Million 7-bit Physical Interconnections
        Yuzo Hirai, University of Tsukuba       

Finite Sample Bounds for Non-linear Time Series Prediction
        Ron Meir, Technion

Graph Matching with Hierarchical Discrete Relaxation
        Richard C. Wilson and Edwin R. Hancock, University of York      

Recovering Perspective Pose with a Dual Step EM Algorithm
        A.D.J. Cross and E.R. Hancock, University of York

Bidirectional Retrieval from Associative Memory
        Friedrich T. Sommer and G. Palm, University of Ulm

Synchronized Auditory and Cognitive 40 Hz Attentional Streams, 
and the Impact of Rhythmic Expectation on Auditory Scene Analysis
        Bill Baird, UC Berkeley

Ensemble and Modular Approaches for Face Detection: A Comparison
        Raphael Feraud and Olivier Bernier, France Telecom

Hybrid Reinforcement Learning and its Application to Biped Robot Control
        Satoshi Yamada, Akira Watanabe and Michio Nakashima, Mitsubishi

S-Map: A Network with a Simple Self-organization Algorithm 
for Generative Topographic Mapping
        Kimmo Kiviluoto and Erkki Oja,  Helsinki University of
Technology
 
New Approximations of Differential Entropy for Independent 
Component Analysis and Projection Pursuit
        Aapo Hyvarinen, Helsinki University of Technology

Combining Classifiers Using Correspondence Analysis
        Christopher J. Merz, UC Irvine

A Neural Network Model of Naive Preference and Filial Imprinting 
in the Domestic Chick   
        Lucy E. Hadden, UC San Diego

MELONET I: Neural Nets for Inventing Baroque-style Chorale Variations
        Dominik Hornel, Universitat Fridericiana Karlsruhe (TH) 

Automatic Aircraft Recovery via Reinforcement Learning: Initial
Experiments
        Jeffrey F. Monaco and David G. Ward, Barron Associates, Inc.
        Andrew G. Barto, University of Massachusetts

Unsupervised On-line Learning of Decision Trees for Hierarchical Data
Analysis
        Marcus Held and Joachim M. Buhmann, 
                Rheinische Friedrich-Wilhelms-Universitat       

An Annealed Self-organizing Map for Source Channel Coding
        Matthias Burger, Thore Graepel and Klaus Obermayer, 
                Technical University of Berlin

Bach in a Box - Real-time Harmony
        Randall R. Spangler, Rodney M. Goodman, and Jim Hawkins,
                California Institute of Technology

Function Approximation with the Sweeping Hinge Algorithm
        Don R. Hush and Fernando Lozano, University of New Mexico
        Bill Horne, MakeWaves, Inc.

Incorporating Test Inputs into Learning
        Zehra Cataltepe and Malik Magdon-Ismail, 
                California Institute of Technology

Just One View: Invariances in Inferotemporal Cell Tuning
        Maximilian Riesenhuber and Tomaso Poggio,
                Massachusetts Institute of Technology

Weight Space Structure and the Storage Capacity 
of a Fully-connected Committee Machine
        Yuansheng Xiong, Pohang Institute of Science and Technology
        Chulan Kwon, Myong Ji University
        Jong-Hoon Oh, Bell Labs Lucent Technologies

Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive
Counting
        Paul Rodriguez, UC San Diego
        Janet Wiles, University of Queensland

Multi-modular Associative Memory        
        Nir Levy, David Horn and Eytan Ruppin, Tel-Aviv University

On Parallel Versus Serial Processing: A Computational Study of Visual
Search
        Eyal Cohen and Eytan Ruppin, Tel-Aviv University        

Self-similarity Properties of Natural Images
        Antonio Turiel, German Mato, and Nestor Parga, 
                Universidad Autonoma de Madrid  
        Jean-Pierre Nadal, Ecole Normale Superieure

Experiences with Bayesian Learning in a Real World Application
        Peter Sykacek and Georg Dorffner, Austrian Research Institute
                for Artificial Intelligence
        Peter Rapplesberger, University of Vienna
        Josef Zeitlhofer, AKH Vienna

An Analog VLSI Neural Network for Phase-based Computer Vision
        Bertram E. Shi and Kwok Fai Hui, 
                Hong Kong University of Science and Technology  

An Application of Reversible-jump MCMC to 
Multivariate Spherical Gaussian Mixtures
        Alan D. Marrs, Defence Evaluation & Research Agency

Regularisation in Sequential Learning Algorithms
        Joao FG de Freitas, Mahesan Niranjan and Andrew H. Gee, 
                Cambridge University

A Generic Approach for Identification of Event Related 
Brain Potentials via a Competitive Neural Network Structure     
        Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt 
        and Gideon F. Inbar, Israel Institute of Technology

Selecting Weighting Factors in Logarithmic Opinion Pools
        Tom Heskes, University of Nijmegen      

Shared Context Probabilistic Transducers
Yoshua Bengio, Universite de Montreal
        Samy Bengio, CIRANO
        Jean-Francois Isabelle, NOVASYS
        Yoram Singer, AT&T Labs

Perturbative M-sequences for Auditory Systems Identification
        Mark Kvale and Christoph E. Schreiner, UC San Francisco 

Instabilities in Eye Movement Control: 
A Model of Periodic Alternating Nystagmus
        Ernst R. Dow and Thomas J. Anastasio, University of Illinois

The Observer-observation Dilemma in Neuro-forecasting
        Hans Georg Zimmermann and Ralph Neuneier, Siemens

Enhancing Q-learning for Optimal Asset Allocation
        Ralph Neuneier, Siemens

An Analog VLSI Model of the Fly Elementary Motion Detector
        Reid R. Harrison and Christof Koch, California Institute of
Technology  

Synaptic Transmission: An Information-theoretic Perspective
        Amit Manwani and Christof Koch, California Institute of
Technology      

Phase Transitions and Perceptual Organization of Video Sequences
        Yair Weiss, Massachusetts Institute of Technology       

Adaptive Choice of Grid and Time in Reinforcement Learning
        Stephan Pareigis, Christian-Albrechts-Universitat Kiel  

The Rectified Gaussian Distribution
        N.D. Socci, D.D. Lee and H.S. Seung, 
                Bell Labs Lucent Technologies   

Two Approaches to Optimal Annealing
        Todd K. Leen, Oregon Graduate Institute
        Bernhard Schottky and David Saad, Aston University

On the Separation of Signals from Neighboring Cells in Tetrode
Recordings
        Maneesh Sahani, John S. Pezaris and Richard A. Andersen, 
                California Institute of Technology

Detection of First and Second Order Motion
        Alexander Grunewald, California Institute of Technology
        Heiko Neumann, Universitat Ulm

Silicon Retina with Adaptive Filtering Properties
        Shih-Chii Liu, California Institute of Technology       

***** WEDNESDAY, DECEMBER 3: MORNING ORAL SESSION I *****

Relative Loss Bounds, the Minimum Relative Entropy Principle and EM
        Manfred Warmuth, UC Santa Cruz
        (Invited Talk)

Saddle Point and Hamiltonian Structure in Excitatory-inhibitory Networks
        H.S. Seung and T.J. Richardson, Bell Labs Lucent Technologies
        J.C. Lagarias, AT&T Labs
        J.J. Hopfield, Princeton University
        (Oral Presentation)

>From Regularization Operators to Support Vector Kernels        
        Alexander J. Smola, GMD 
        Bernhard Scholkopf, Max Planck Institute
        (Oral Presentation)

Globally Optimal On-line Learning Rules 
        Magnus Rattray and David Saad, Aston University 
        (Poster Spotlight)

Asymptotics for Regularization
        Petri Koistinen, University of Helsinki 
        (Poster Spotlight)

Prior Knowledge in Support Vector Kernels
        Bernhard Scholkopf, Max Planck Institute
        Patrice Simard and Valdimir Vapnik, AT&T Labs
        Alexander J. Smola, GMD
        (Poster Spotlight)

Optimization of the Drift for Nonequilibrium Diffusion Networks 
        Paul Mineiro, Javier Movellan, and R.J. Williams, UC San Diego
        (Poster Spotlight)

A Revolution: Belief Propagation in Graphs With Cycles
        Brendan Frey, University of Toronto
        David J. C. MacKay, Cambridge University
        (Poster Spotlight)

***** WEDNESDAY, DECEMBER 3: MORNING ORAL SESSION II *****

Using Expectation to Guide Processing:  A Study of Three Real-world
Applications
        Shumeet Baluja, Carnegie Mellon University
        (Oral Presentation)

Bayesian Robustification for Audio Visual Fusion in Non-stationary
Environments
        Javier Movellan and Paul Mineiro, UC San Diego  
        (Oral Presentation)

Spectrotemporal Receptive Fields for Neurons in the 
Primary Auditory Cortex of the Awake Primate
        R.C. deCharms and M.M. Merzenich, UC San Francisco      
        (Oral Presentation)

Active Data Clustering
        Thomas Hofmann, Massachusetts Institute of Technology
        Joachim M. Buhmann, Universitat Bonn
        (Poster Spotlight)

Learning Nonlinear Overcomplete Representations for Efficient Coding
        Michael S. Lewicki and Terrence J. Sejnowski, Salk Institute
        (Poster Spotlight)

A Non-parametric Multi-scale Statistical Model for Natural Images
        Jeremy S. De Bonet and Paul Viola, 
                Massachusetts Institute of Technology   
        (Poster Spotlight)

Modeling Acoustic Correlations by Factor Analysis
        Lawrence Saul and Mazin Rahim, AT&T Labs
        (Poster Spotlight)

Blind Separation of Radio Signals in Fading Channels
        Kari Torkkola, Motorola 
        (Poster Spotlight)

Features as Sufficient Statistics
        D. Geiger, A. Rudra and L. Maloney, New York University 
        (Poster Spotlight)

Bayesian Model of Surface Perception
        William T. Freeman, Mitsubishi Electric Research Lab
        Paul A. Viola, Massachusetts Institute of Technology 
        (Poster Spotlight)

2D Observers for Human 3D Object Recognition?
        Zili Liu, NEC Research Institute
        Daniel Kersten, University of Minnesota
        (Poster Spotlight)

***** WEDNESDAY, DECEMBER 3: AFTERNOON ORAL SESSION *****

Computing with Action Potentials
        John Hopfield, Princeton University
        (Invited Talk)

Coding of Naturalistic Stimuli by Auditory Midbrain Neurons
        H. Attias and C.E. Schreiner, UC San Francisco
        (Oral Presentation)

Refractoriness and Neural Precision
        Michael J. Berry II and Markus Meister, Harvard University      
        (Oral Presentation)

A Mathematical Model of Axon Guidance by Diffusible Factors
        Geoffrey J. Goodhill, Georgetown University
        (Oral Presentation)

Neural Basis of Object-centered Representations 
        Sophie Deneve and Alexandre Pouget, Georgetown University       
        (Poster Spotlight)

A Model of Early Visual Processing
        Laurent Itti, Jochen Braun, Dale K. Lee and Christof Koch, 
                California Institute of Technology
        (Poster Spotlight)

Effects of Spike Timing Underlying Binocular Integration and 
Rivalry in a Neural Model of Early Visual Cortex
        Erik D. Lumer, Universite Libre de Bruxelles
        (Poster Spotlight)

Statistical Models of Conditioning
        Peter Dayan and Theresa Long, Massachusetts Institute of
Technology
        (Poster Spotlight)

***** WEDNESDAY, DECEMBER 3: EVENING POSTER SESSION *****

(Note: contributed papers presented during Wednesday's oral sessions
will
also have posters Wednesday evening.)

Serial Order in Reading Aloud: Connectionist Models and Neighborhood
Structure
        Jeanne C. Milostan and Garrison W. Cottrell, UC San Diego

The Error Coding Method and PaCT's
        Gareth James and Trevor Hastie, Stanford University

Linear Concepts and Hidden Variables: an Empirical Study
        Adam J. Grove, NEC Research Institute,
        Dan Roth, Weizmann Institute of Science

A Hippocampal Model of Recognition Memory
        Randall C. O'Reilly, Massachusetts Institute of Technology 
        Kenneth A. Norman, Harvard University
        James L. McClelland, Carnegie Mellon University

The Efficiency and the Robustness of Natural Gradient Descent Learning
Rule
        Howard Hua Yang and Shun-ichi Amari, RIKEN      

Derive Serial Updating Rule for Blind Separation from the Method of
Scoring
        Howard Hua Yang, RIKEN

Unconscious Inference and the Up-propagation Algorithm
        Jong-Hoon Oh and H. Sebastian Seung, Bell Labs Lucent
Technologies

Nonlinear Markov Networks for Continuous Variables
        Reimar Hofmann and Volker Tresp, Siemens

Modelling Seasonality and Trends in Daily Rainfall Data
        Peter M. Williams, University of Sussex

Task and Spatial Frequency Effects on Face Specialization
        Matthew N. Dailey and Garrison W. Cottrell, UC San Diego

A Simple and Fast Neural Network Approach to Stereovision
        Rolf D. Henkel, University of Bremen

Wavelet Models for Video Time Series
        Sheng Ma and Chuanyi Ji, Rensselaer Polytechnic Institute

Multiple Threshold Neural Logic 
        Vasken Bohossian and Jehoshua Bruck, California Institute of
Technology 

Reinforcement Learning for Continuous Stochastic Control Problems
        Remi Munos, CEMAGREF
        Paul Bourgine, Ecole Polytechnique 

Independent Component Analysis for Identification of 
Artifacts in Magnetoencephalographic Recordings
        Ricardo Vigario, Veikko Jousmaki, Matti Hamalainen, 
                Riitta Hari and Erkki Oja, Helsinki University of
Technology

Hybrid NN/HMM-based Speech Recognition with 
a Discriminant Neural Feature Extraction
        Daniel Willett and Gerhard Rigoll, Gerhard Mercator University  

Use of a Multi-layer Perceptron to Predict Malignancy in Ovarian Tumors 
        Herman Verrelst, Yves Moreau, and Joos Vandewalle, 
                Katholieke Universiteit Leuven
        Dirk Timmerman, University Hospitals Leuven

Correlates of Attention in a Model of Dynamic Visual Recognition
        Rajesh P.N. Rao, University of Rochester        

Approximating Posterior Distributions in Belief Networks Using Mixtures
        Christopher M. Bishop and Neil Lawrence, Aston University
        Tommi Jaakkola and Michael I. Jordan, 
                Massachusetts Institute of Technology

Regression with Input-dependent Noise:  a Gaussian Process Treatment
        Paul W. Goldberg, Christopher K.I. Williams and Christopher M.
Bishop, 
                Aston University

Online Learning from Finite Training Sets in Non-linear Networks
        Peter Sollich, University of Edinburgh
        David Barber, Aston University

Radial Basis Functions: a Bayesian Treatment
        David Barber and Bernhard Schottky, Aston University

Computing with Stochastic Dynamic Synapses
        Wolfgang Maass, Technische Universitaet Graz
        Anthony M. Zador, Salk Institute

Learning to Schedule Straight-line Code
        J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, 
        Doina Precup and Darko Stefanovic, University of Massachusetts
        Carla Brodley and David Scheeff, Purdue University, 

Multi-time Models for Temporally Abstract Planning
        Doina Precup and Richard S. Sutton, University of Massachusetts 

Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding
Framework
        Michael S. Lewicki, Salk Institute
        Bruno A. Olshausen, UC Davis

Mapping a Manifold
        Joshua B. Tenenbaum, Massachusetts Institute of Technology

Monotonic Networks
        Joseph Sill, California Institute of Technology

The Canonical Distortion Measure in Feature Space and 1-NN
Classification
        Jonathan Baxter and Peter Bartlett, Australian National
University

Relative Loss Bounds for Multidimensional Regression Problems
        Jyrki Kivinen, University of Helsinki
        Manfred K. Warmuth, UC Santa Cruz 

A General Purpose Image Processing Chip: Orientation Detection
        Ralph Etienne-Cummings and Donghui Cai, Southern Illinois
University    

Receptive Field Formation in Natural Scene Environments: 
Comparison of Kurtosis, Skewness, and the Quadratic form of BCM
        Brian Blais, N. Intrator, H. Shouval and Leon N. Cooper, 
                Brown University

How to Dynamically Merge Markov Decision Processes
        Satinder Singh, University of Colorado
        David Cohn, Harlequin, Inc.

Comparison of Human and Machine Word Recognition
        M. Schenkel, C. Latimer and M. Jabri, University of Sydney

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
        J. Kohlmorgen, K.-R. Muller, GMD 
        K. Pawelzik, MPI f. Stromungsforschung,

A Neural Network Based Head Tracking System
        D.D. Lee and H.S. Seung, Bell Labs Lucent Technologies

Multiresolution Tangent Distance for Affine-invariant Classification
        Nuno Vasconcelos and Andrew Lippman, 
                Massachusetts Institute of Technology 

Modeling a Complex Cell in an Awake Macaque During Natural Image Viewing
        William E. Vinje and Jack L. Gallant, UC Berkeley

Local Dimensionality Reduction
        Stefan Schaal, Georgia Institute of Technology
        Sethu Vijayakumar, Tokyo Institute of Technology
        Christopher C. Atkeson, Georgia Institute of Technology

Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings
        Virginia R. de Sa, R. Christopher deCharms 
                and Michael M. Merzenich, UC San Francisco

RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions
        Mark Ring, GMD

Competitive On-line Linear Regression
        V. Vovk, University of London   

Generalized Prioritized Sweeping
        David Andre, Nir Friedman and Ronald Parr, UC Berkeley  

Toward a Single-cell Account of Binocular Disparity Tuning: 
An Energy Model May be Hiding in Your Dendrites
        Bartlet W. Mel, University of Southern California
        Daniel L. Ruderman, The Salk Institute
        Kevin A. Archie, University of Southern California,     

Hippocampal Model of Rat Spatial Abilities Using Temporal Difference
Learning
        David J. Foster and Richard G.M. Morris, Edinburgh University
        Peter Dayan, Massachusetts Institute of Technology

Boltzmann Machine Learning Using Mean Field Theory 
and Linear Response Correction
        H.J. Kappen, University of Nijmegen     

***** THURSDAY, DECEMBER 4: MORNING ORAL SESSION I ******

Odor Coding by the Olfactory System: Distributed Processing in
Biological and Artificial Systems
        John S. Kauer, Tufts University
        (Invited Talk)

Adaptation in Speech Motor Control
        John F. Houde, UC San Francisco
        Michael I. Jordan, Massachusetts Institute of Technology 
        (Oral Presentation)

A Superadditive-impairment Theory of Optic Aphasia
        Michael C. Mozer and Mark Sitton, University of Colorado
        Martha Farah, University of Pennsylvania
        (Oral Presentation)

Learning Human-like Knowledge by Singular Value Decomposition: A
Progress Report
        Thomas K. Landauer and Darrell Laham, University of Colorado at
Boulder
        Peter Foltz, New Mexico State University
        (Oral Presentation)

***** THURSDAY, DECEMBER 4: MORNING ORAL SESSION II *****

Local Independent Component Analysis
        Juan K. Lin, University of Chicago      
        (Oral Presentation)

Stacked Density Estimation
        Padhraic Smyth, UC Irvine
        David Wolpert, IBM Almaden Research
        (Oral Presentation)

Ensemble Learning for Multi-layer Networks
        David Barber and Christopher M. Bishop, Aston University
        (Oral Presentation)

***** END OF CONFERENCE --- ADJOURN TO WORKSHOPS *****