NeurIPS 1996

152 papers

3D Object Recognition: A Model of View-Tuned Neurons Emanuela Bricolo, Tomaso Poggio, Nikos K. Logothetis

488 Solutions to the XOR Problem Frans Coetzee, Virginia L. Stonick

A Comparison Between Neural Networks and Other Statistical Techniques for Modeling the Relationship Between Tobacco and Alcohol and Cancer Tony Plate, Pierre Band, Joel Bert, John Grace

A Constructive Learning Algorithm for Discriminant Tangent Models Diego Sona, Alessandro Sperduti, Antonina Starita

A Constructive RBF Network for Writer Adaptation John C. Platt, Nada Matic

A Convergence Proof for the Softassign Quadratic Assignment Algorithm Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness

A Hierarchical Model of Visual Rivalry Peter Dayan

A Mean Field Algorithm for Bayes Learning in Large Feed-Forward Neural Networks Manfred Opper, Ole Winther

A Micropower Analog VLSI HMM State Decoder for Wordspotting John Lazzaro, John Wawrzynek, Richard P Lippmann

A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data David J. Miller, Hasan S. Uyar

A Model of Recurrent Interactions in Primary Visual Cortex Emanuel Todorov, Athanassios Siapas, David Somers

A Neural Model of Visual Contour Integration Zhaoping Li

A New Approach to Hybrid HMM/ANN Speech Recognition Using Mutual Information Neural Networks Gerhard Rigoll, Christoph Neukirchen

A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem André van Schaik, Eric Fragnière, Eric A. Vittoz

A Spike Based Learning Neuron in Analog VLSI Philipp Häfliger, Misha Mahowald, Lloyd Watts

A Variational Principle for Model-Based Morphing Lawrence K. Saul, Michael I. Jordan

Adaptive Access Control Applied to Ethernet Data Timothy X. Brown

Adaptive On-Line Learning in Changing Environments Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari

Adaptively Growing Hierarchical Mixtures of Experts Jürgen Fritsch, Michael Finke, Alex Waibel

An Adaptive WTA Using Floating Gate Technology W. Fritz Kruger, Paul E. Hasler, Bradley A. Minch, Christof Koch

An Analog Implementation of the Constant Average Statistics Constraint for Sensor Calibration John G. Harris, Yu-Ming Chiang

An Apobayesian Relative of Winnow Nick Littlestone, Chris Mesterharm

An Architectural Mechanism for Direction-Tuned Cortical Simple Cells: The Role of Mutual Inhibition Silvio P. Sabatini, Fabio Solari, Giacomo M. Bisio

An Orientation Selective Neural Network for Pattern Identification in Particle Detectors Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny

Analog VLSI Circuits for Attention-Based, Visual Tracking Timothy K. Horiuchi, Tonia G. Morris, Christof Koch, Stephen P. DeWeerth

Analysis of Temporal-Diffference Learning with Function Approximation John N. Tsitsiklis, Benjamin Van Roy

Analytical Mean Squared Error Curves in Temporal Difference Learning Satinder P. Singh, Peter Dayan

Approximate Solutions to Optimal Stopping Problems John N. Tsitsiklis, Benjamin Van Roy

ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers Friedrich Leisch, Kurt Hornik

Are Hopfield Networks Faster than Conventional Computers? Ian Parberry, Hung-Li Tseng

ARTEX: A Self-Organizing Architecture for Classifying Image Regions Stephen Grossberg, James R. Williamson

Balancing Between Bagging and Bumping Tom Heskes

Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing Fernando J. Pineda, Gert Cauwenberghs, R. Timothy Edwards

Bayesian Model Comparison by Monte Carlo Chaining David Barber, Christopher M. Bishop

Bayesian Unsupervised Learning of Higher Order Structure Michael S. Lewicki, Terrence J. Sejnowski

Blind Separation of Delayed and Convolved Sources Te-Won Lee, Anthony J. Bell, Russell H. Lambert

Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski

Clustering Sequences with Hidden Markov Models Padhraic Smyth

Clustering via Concave Minimization Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street

Combinations of Weak Classifiers Chuanyi Ji, Sheng Ma

Combining Neural Network Regression Estimates with Regularized Linear Weights Christopher J. Merz, Michael J. Pazzani

Competition Among Networks Improves Committee Performance Paul W. Munro, Bambang Parmanto

Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie

Compositionality, MDL Priors, and Object Recognition Elie Bienenstock, Stuart Geman, Daniel Potter

Computing with Infinite Networks Christopher K. I. Williams

Consistent Classification, Firm and Soft Yoram Baram

Continuous Sigmoidal Belief Networks Trained Using Slice Sampling Brendan J. Frey

Contour Organisation with the EM Algorithm José A. F. Leite, Edwin R. Hancock

Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation Eric A. Wan, Alex T. Nelson

Dynamic Features for Visual Speechreading: A Systematic Comparison Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski

Dynamically Adaptable CMOS Winner-Take-All Neural Network Kunihiko Iizuka, Masayuki Miyamoto, Hirofumi Matsui

Dynamics of Training Siegfried Bös, Manfred Opper

Early Brain Damage Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann

Edges Are the 'Independent Components' of Natural Scenes. Anthony J. Bell, Terrence J. Sejnowski

Effective Training of a Neural Network Character Classifier for Word Recognition Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb

Efficient Nonlinear Control with Actor-Tutor Architecture Kenji Doya

Ensemble Methods for Phoneme Classification Steve R. Waterhouse, Gary Cook

Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach A. Neil Burgess

Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning Jeff G. Schneider

Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish Fabrizio Gabbiani, Walter Metzner, Ralf Wessel, Christof Koch

Fast Network Pruning and Feature Extraction by Using the Unit-OBS Algorithm Achim Stahlberger, Martin Riedmiller

For Valid Generalization the Size of the Weights Is More Important than the Size of the Network Peter L. Bartlett

Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo David Barber, Christopher K. I. Williams

Genetic Algorithms and Explicit Search Statistics Shumeet Baluja

GTM: A Principled Alternative to the Self-Organizing mAP Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Hebb Learning of Features Based on Their Information Content Ferdinand Peper, Hideki Noda

Hidden Markov Decision Trees Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul

Improving the Accuracy and Speed of Support Vector Machines Christopher J. C. Burges, Bernhard Schölkopf

Interpolating Earth-Science Data Using RBF Networks and Mixtures of Experts Ernest Wan, Don Bone

Interpreting Images by Propagating Bayesian Beliefs Yair Weiss

Learning Appearance Based Models: Mixtures of Second Moment Experts Christoph Bregler, Jitendra Malik

Learning Bayesian Belief Networks with Neural Network Estimators Stefano Monti, Gregory F. Cooper

Learning Decision Theoretic Utilities Through Reinforcement Learning Magnus Stensmo, Terrence J. Sejnowski

Learning Exact Patterns of Quasi-Synchronization Among Spiking Neurons from Data on Multi-Unit Recordings Laura Martignon, Kathryn B. Laskey, Gustavo Deco, Eilon Vaadia

Learning from Demonstration Stefan Schaal

Learning Temporally Persistent Hierarchical Representations Suzanna Becker

Learning with Noise and Regularizers in Multilayer Neural Networks David Saad, Sara A. Solla

Limitations of Self-Organizing Maps for Vector Quantization and Multidimensional Scaling Arthur Flexer

Local Bandit Approximation for Optimal Learning Problems Michael O. Duff, Andrew G. Barto

LSTM Can Solve Hard Long Time Lag Problems Sepp Hochreiter, Jürgen Schmidhuber

Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA Barak A. Pearlmutter, Lucas C. Parra

Microscopic Equations in Rough Energy Landscape for Neural Networks K. Y. Michael Wong

MIMIC: Finding Optima by Estimating Probability Densities Jeremy S. De Bonet, Charles Lee Isbell Jr., Paul A. Viola

Minimizing Statistical Bias with Queries David A. Cohn

MLP Can Provably Generalize Much Better than VC-Bounds Indicate Adam Kowalczyk, Herman L. Ferrá

Monotonicity Hints Joseph Sill, Yaser S. Abu-Mostafa

Multi-Effect Decompositions for Financial Data Modeling Lizhong Wu, John E. Moody

Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes Stephan Pareigis

Multi-Task Learning for Stock Selection Joumana Ghosn, Yoshua Bengio

Multidimensional Triangulation and Interpolation for Reinforcement Learning Scott Davies

Multilayer Neural Networks: One or Two Hidden Layers? Graham Brightwell, Claire Kenyon, Hélène Paugam-Moisy

Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient Shun-ichi Amari

Neural Models for Part-Whole Hierarchies Maximilian Riesenhuber, Peter Dayan

Neural Network Modeling of Speech and Music Signals Alex Röbel

Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans Thomas C. Ferrée, Ben A. Marcotte, Shawn R. Lockery

NeuroScale: Novel Topographic Feature Extraction Using RBF Networks David Lowe, Michael E. Tipping

Noisy Spiking Neurons with Temporal Coding Have More Computational Power than Sigmoidal Neurons Wolfgang Maass

On a Modification to the Mean Field EM Algorithm in Factorial Learning A. P. Dunmur, D. M. Titterington

On the Effect of Analog Noise in Discrete-Time Analog Computations Wolfgang Maass, Pekka Orponen

On-Line Policy Improvement Using Monte-Carlo Search Gerald Tesauro, Gregory R. Galperin

One-Unit Learning Rules for Independent Component Analysis Aapo Hyvärinen, Erkki Oja

Online Learning from Finite Training Sets: An Analytical Case Study Peter Sollich, David Barber

Ordered Classes and Incomplete Examples in Classification Mark Mathieson

Orientation Contrast Sensitivity from Long-Range Interactions in Visual Cortex Klaus Pawelzik, Udo Ernst, Fred Wolf, Theo Geisel

Practical Confidence and Prediction Intervals Tom Heskes

Predicting Lifetimes in Dynamically Allocated Memory David A. Cohn, Satinder P. Singh

Probabilistic Interpretation of Population Codes Richard S. Zemel, Peter Dayan, Alexandre Pouget

Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs Rich Caruana, Virginia R. de Sa

Radial Basis Function Networks and Complexity Regularization in Function Learning Adam Krzyzak, Tamás Linder

Rapid Visual Processing Using Spike Asynchrony Simon J. Thorpe, Jacques Gautrais

Reconstructing Stimulus Velocity from Neuronal Responses in Area MT Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon

Recursive Algorithms for Approximating Probabilities in Graphical Models Tommi Jaakkola, Michael I. Jordan

Regression with Input-Dependent Noise: A Bayesian Treatment Christopher M. Bishop, Cazhaow S. Quazaz

Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems Satinder P. Singh, Dimitri P. Bertsekas

Reinforcement Learning for Mixed Open-Loop and Closed-Loop Control Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein

Removing Noise in On-Line Search Using Adaptive Batch Sizes Genevieve B. Orr

Representation and Induction of Finite State Machines Using Time-Delay Neural Networks Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell

Representing Face Images for Emotion Classification Curtis Padgett, Garrison W. Cottrell

Salient Contour Extraction by Temporal Binding in a Cortically-Based Network Shih-Cheng Yen, Leif H. Finkel

Second-Order Learning Algorithm with Squared Penalty Term Kazumi Saito, Ryohei Nakano

Selective Integration: A Model for Disparity Estimation Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski

Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition Chanchal Chatterjee, Vwani P. Roychowdhury

Separating Style and Content Joshua B. Tenenbaum, William T. Freeman

Sequential Tracking in Pricing Financial Options Using Model Based and Neural Network Approaches Mahesan Niranjan

Size of Multilayer Networks for Exact Learning: Analytic Approach André Elisseeff, Hélène Paugam-Moisy

Smoothing Regularizers for Projective Basis Function Networks John E. Moody, Thorsteinn S. Rögnvaldsson

Softening Discrete Relaxation Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock

Source Separation and Density Estimation by Faithful Equivariant SOM Juan K. Lin, Jack D. Cowan, David G. Grier

Spatial Decorrelation in Orientation Tuned Cortical Cells Alexander Dimitrov, Jack D. Cowan

Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities Dawei W. Dong

Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh

Statistical Mechanics of the Mixture of Experts Kukjin Kang, Jong-Hoon Oh

Statistically Efficient Estimations Using Cortical Lateral Connections Alexandre Pouget, Kechen Zhang

Support Vector Method for Function Approximation, Regression Estimation and Signal Processing Vladimir Vapnik, Steven E. Golowich, Alex J. Smola

Support Vector Regression Machines Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik

Temporal Low-Order Statistics of Natural Sounds Hagai Attias, Christoph E. Schreiner

Text-Based Information Retrieval Using Exponentiated Gradient Descent Ron Papka, James P. Callan, Andrew G. Barto

The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking Andrew Blake, Michael Isard

The Effect of Correlated Input Data on the Dynamics of Learning Søren Halkjær, Ole Winther

The Generalisation Cost of RAMnets Richard Rohwer, Michal Morciniec

The Learning Dynamcis of a Universal Approximator Ansgar H. L. West, David Saad, Ian T. Nabney

The Neurothermostat: Predictive Optimal Control of Residential Heating Systems Michael Mozer, Lucky Vidmar, Robert H. Dodier

Time Series Prediction Using Mixtures of Experts Assaf J. Zeevi, Ron Meir, Robert J. Adler

Training Algorithms for Hidden Markov Models Using Entropy Based Distance Functions Yoram Singer, Manfred K. Warmuth

Triangulation by Continuous Embedding Marina Meila, Michael I. Jordan

Unification of Information Maximization and Minimization Ryotaro Kamimura

Unsupervised Learning by Convex and Conic Coding Daniel D. Lee, H. Sebastian Seung

Using Curvature Information for Fast Stochastic Search Genevieve B. Orr, Todd K. Leen

Viewpoint Invariant Face Recognition Using Independent Component Analysis and Attractor Networks Marian Stewart Bartlett, Terrence J. Sejnowski

Visual Cortex Circuitry and Orientation Tuning Trevor Mundel, Alexander Dimitrov, Jack D. Cowan

VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer Ralph Etienne-Cummings, Jan Van der Spiegel, Naomi Takahashi, Alyssa Apsel, Paul Mueller

Why Did TD-Gammon Work? Jordan B. Pollack, Alan D. Blair