Advances in Neural Information Processing Systems 9

NIPS 1996

Edited by M.C. Mozer and M. Jordan and T. Petsche

152 papers

Hebb Learning of Features based on their Information Content Ferdinand Peper, Hideki Noda
A Variational Principle for Model-based Morphing Lawrence K. Saul, Michael I. Jordan
ARTEX: A Self-organizing Architecture for Classifying Image Regions Stephen Grossberg, James R. Williamson
The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking Andrew Blake, Michael Isard
A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem André van Schaik, Eric Fragnière, Eric A. Vittoz
Adaptive On-line Learning in Changing Environments Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
Minimizing Statistical Bias with Queries David A. Cohn
A Micropower Analog VLSI HMM State Decoder for Wordspotting John Lazzaro, John Wawrzynek, Richard P Lippmann
Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation Eric A. Wan, Alex T. Nelson
Source Separation and Density Estimation by Faithful Equivariant SOM Juan K. Lin, Jack D. Cowan, David G. Grier
Continuous Sigmoidal Belief Networks Trained using Slice Sampling Brendan J. Frey
Compositionality, MDL Priors, and Object Recognition Elie Bienenstock, Stuart Geman, Daniel Potter
A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks Manfred Opper, Ole Winther
Ordered Classes and Incomplete Examples in Classification Mark Mathieson
Unification of Information Maximization and Minimization Ryotaro Kamimura
Multi-Task Learning for Stock Selection Joumana Ghosn, Yoshua Bengio
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski
Analytical Mean Squared Error Curves in Temporal Difference Learning Satinder P. Singh, Peter Dayan
Dynamics of Training Siegfried Bös, Manfred Opper
A Constructive RBF Network for Writer Adaptation John C. Platt, Nada Matic
MLP Can Provably Generalize Much Better than VC-bounds Indicate Adam Kowalczyk, Herman L. Ferrá
3D Object Recognition: A Model of View-Tuned Neurons Emanuela Bricolo, Tomaso Poggio, Nikos K. Logothetis
Learning Bayesian Belief Networks with Neural Network Estimators Stefano Monti, Gregory F. Cooper
Approximate Solutions to Optimal Stopping Problems John N. Tsitsiklis, Benjamin Van Roy
An Orientation Selective Neural Network for Pattern Identification in Particle Detectors Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny
Early Brain Damage Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann
Text-Based Information Retrieval Using Exponentiated Gradient Descent Ron Papka, James P. Callan, Andrew G. Barto
An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration John G. Harris, Yu-Ming Chiang
A Neural Model of Visual Contour Integration Zhaoping Li
Unsupervised Learning by Convex and Conic Coding Daniel D. Lee, H. Sebastian Seung
Reconstructing Stimulus Velocity from Neuronal Responses in Area MT Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon
Multidimensional Triangulation and Interpolation for Reinforcement Learning Scott Davies
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks Marian Stewart Bartlett, Terrence J. Sejnowski
On the Effect of Analog Noise in Discrete-Time Analog Computations Wolfgang Maass, Pekka Orponen
Combinations of Weak Classifiers Chuanyi Ji, Sheng Ma
Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems Satinder P. Singh, Dimitri P. Bertsekas
Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient Shun-ichi Amari
Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish Fabrizio Gabbiani, Walter Metzner, Ralf Wessel, Christof Koch
A Model of Recurrent Interactions in Primary Visual Cortex Emanuel Todorov, Athanassios Siapas, David Somers
On a Modification to the Mean Field EM Algorithm in Factorial Learning A. P. Dunmur, D. M. Titterington
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
Local Bandit Approximation for Optimal Learning Problems Michael O. Duff, Andrew G. Barto
Learning Appearance Based Models: Mixtures of Second Moment Experts Christoph Bregler, Jitendra Malik
Interpreting Images by Propagating Bayesian Beliefs Yair Weiss
Why did TD-Gammon Work? Jordan B. Pollack, Alan D. Blair
NeuroScale: Novel Topographic Feature Extraction using RBF Networks David Lowe, Michael E. Tipping
Time Series Prediction using Mixtures of Experts Assaf J. Zeevi, Ron Meir, Robert J. Adler
MIMIC: Finding Optima by Estimating Probability Densities Jeremy S. De Bonet, Charles Lee Isbell Jr., Paul A. Viola
Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans Thomas C. Ferrée, Ben A. Marcotte, Shawn R. Lockery
GTM: A Principled Alternative to the Self-Organizing Map Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
Support Vector Method for Function Approximation, Regression Estimation and Signal Processing Vladimir Vapnik, Steven E. Golowich, Alex J. Smola
Smoothing Regularizers for Projective Basis Function Networks John E. Moody, Thorsteinn S. Rögnvaldsson
Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing Fernando J. Pineda, Gert Cauwenberghs, R. Timothy Edwards
Salient Contour Extraction by Temporal Binding in a Cortically-based Network Shih-Cheng Yen, Leif H. Finkel
Learning Decision Theoretic Utilities through Reinforcement Learning Magnus Stensmo, Terrence J. Sejnowski
Spatial Decorrelation in Orientation Tuned Cortical Cells Alexander Dimitrov, Jack D. Cowan
Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches Mahesan Niranjan
Are Hopfield Networks Faster than Conventional Computers? Ian Parberry, Hung-Li Tseng
Learning from Demonstration Stefan Schaal
Clustering Sequences with Hidden Markov Models Padhraic Smyth
Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs Rich Caruana, Virginia R. de Sa
Hidden Markov Decision Trees Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul
Representing Face Images for Emotion Classification Curtis Padgett, Garrison W. Cottrell
Separating Style and Content Joshua B. Tenenbaum, William T. Freeman
Contour Organisation with the EM Algorithm José A. F. Leite, Edwin R. Hancock
Combining Neural Network Regression Estimates with Regularized Linear Weights Christopher J. Merz, Michael J. Pazzani
Triangulation by Continuous Embedding Marina Meila, Michael I. Jordan
Bayesian Model Comparison by Monte Carlo Chaining David Barber, Christopher M. Bishop
Practical Confidence and Prediction Intervals Tom Heskes
Consistent Classification, Firm and Soft Yoram Baram
Neural Models for Part-Whole Hierarchies Maximilian Riesenhuber, Peter Dayan
Bayesian Unsupervised Learning of Higher Order Structure Michael S. Lewicki, Terrence J. Sejnowski
An Architectural Mechanism for Direction-tuned Cortical Simple Cells: The Role of Mutual Inhibition Silvio P. Sabatini, Fabio Solari, Giacomo M. Bisio
Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie
Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions Yoram Singer, Manfred K. Warmuth
A Constructive Learning Algorithm for Discriminant Tangent Models Diego Sona, Alessandro Sperduti, Antonina Starita
Effective Training of a Neural Network Character Classifier for Word Recognition Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
Second-order Learning Algorithm with Squared Penalty Term Kazumi Saito, Ryohei Nakano
Multi-effect Decompositions for Financial Data Modeling Lizhong Wu, John E. Moody
Microscopic Equations in Rough Energy Landscape for Neural Networks K. Y. Michael Wong
Dynamic Features for Visual Speechreading: A Systematic Comparison Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski
The Effect of Correlated Input Data on the Dynamics of Learning Søren Halkjær, Ole Winther
Learning Temporally Persistent Hierarchical Representations Suzanna Becker
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning Jeff G. Schneider
Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
Radial Basis Function Networks and Complexity Regularization in Function Learning Adam Krzyzak, Tamás Linder
Adaptively Growing Hierarchical Mixtures of Experts Jürgen Fritsch, Michael Finke, Alex Waibel
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro, Gregory R. Galperin
Blind Separation of Delayed and Convolved Sources Te-Won Lee, Anthony J. Bell, Russell H. Lambert
A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks Gerhard Rigoll, Christoph Neukirchen
Competition Among Networks Improves Committee Performance Paul W. Munro, Bambang Parmanto
Selective Integration: A Model for Disparity Estimation Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski
The Neurothermostat: Predictive Optimal Control of Residential Heating Systems Michael Mozer, Lucky Vidmar, Robert H. Dodier
Softening Discrete Relaxation Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock
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
An Apobayesian Relative of Winnow Nick Littlestone, Chris Mesterharm
LSTM can Solve Hard Long Time Lag Problems Sepp Hochreiter, Jürgen Schmidhuber
488 Solutions to the XOR Problem Frans Coetzee, Virginia L. Stonick
A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data David J. Miller, Hasan S. Uyar
Statistical Mechanics of the Mixture of Experts Kukjin Kang, Jong-Hoon Oh
Predicting Lifetimes in Dynamically Allocated Memory David A. Cohn, Satinder P. Singh
Reinforcement Learning for Mixed Open-loop and Closed-loop Control Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein
Computing with Infinite Networks Christopher K. I. Williams
Regression with Input-Dependent Noise: A Bayesian Treatment Christopher M. Bishop, Cazhaow S. Quazaz
The Generalisation Cost of RAMnets Richard Rohwer, Michal Morciniec
Multilayer Neural Networks: One or Two Hidden Layers? Graham Brightwell, Claire Kenyon, Hélène Paugam-Moisy
Improving the Accuracy and Speed of Support Vector Machines Christopher J. C. Burges, Bernhard Schölkopf
Adaptive Access Control Applied to Ethernet Data Timothy X. Brown
An Adaptive WTA using Floating Gate Technology W. Fritz Kruger, Paul E. Hasler, Bradley A. Minch, Christof Koch
Representation and Induction of Finite State Machines using Time-Delay Neural Networks Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
Probabilistic Interpretation of Population Codes Richard S. Zemel, Peter Dayan, Alexandre Pouget
Analog VLSI Circuits for Attention-Based, Visual Tracking Timothy K. Horiuchi, Tonia G. Morris, Christof Koch, Stephen P. DeWeerth
Online Learning from Finite Training Sets: An Analytical Case Study Peter Sollich, David Barber
Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities Dawei W. Dong
Using Curvature Information for Fast Stochastic Search Genevieve B. Orr, Todd K. Leen
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers Friedrich Leisch, Kurt Hornik
Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach A. Neil Burgess
Monotonicity Hints Joseph Sill, Yaser S. Abu-Mostafa
A Convergence Proof for the Softassign Quadratic Assignment Algorithm Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness
Removing Noise in On-Line Search using Adaptive Batch Sizes Genevieve B. Orr
Size of Multilayer Networks for Exact Learning: Analytic Approach André Elisseeff, Hélène Paugam-Moisy
Support Vector Regression Machines Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik
A Hierarchical Model of Visual Rivalry Peter Dayan
Dynamically Adaptable CMOS Winner-Take-All Neural Network Kunihiko Iizuka, Masayuki Miyamoto, Hirofumi Matsui
Ensemble Methods for Phoneme Classification Steve R. Waterhouse, Gary Cook
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA Barak A. Pearlmutter, Lucas C. Parra
Temporal Low-Order Statistics of Natural Sounds Hagai Attias, Christoph E. Schreiner
Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling Arthur Flexer
A Spike Based Learning Neuron in Analog VLSI Philipp Häfliger, Misha Mahowald, Lloyd Watts
One-unit Learning Rules for Independent Component Analysis Aapo Hyvärinen, Erkki Oja
Analysis of Temporal-Diffference Learning with Function Approximation John N. Tsitsiklis, Benjamin Van Roy
Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm Achim Stahlberger, Martin Riedmiller
Learning with Noise and Regularizers in Multilayer Neural Networks David Saad, Sara A. Solla
The Learning Dynamcis of a Universal Approximator Ansgar H. L. West, David Saad, Ian T. Nabney
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo David Barber, Christopher K. I. Williams
Genetic Algorithms and Explicit Search Statistics Shumeet Baluja
Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings Laura Martignon, Kathryn B. Laskey, Gustavo Deco, Eilon Vaadia
Efficient Nonlinear Control with Actor-Tutor Architecture Kenji Doya
Interpolating Earth-science Data using RBF Networks and Mixtures of Experts Ernest Wan, Don Bone
Statistically Efficient Estimations Using Cortical Lateral Connections Alexandre Pouget, Kechen Zhang
Recursive Algorithms for Approximating Probabilities in Graphical Models Tommi Jaakkola, Michael I. Jordan
Clustering via Concave Minimization Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street
Balancing Between Bagging and Bumping Tom Heskes
Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition Chanchal Chatterjee, Vwani P. Roychowdhury
Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes Stephan Pareigis
Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons Wolfgang Maass
Edges are the 'Independent Components' of Natural Scenes. Anthony J. Bell, Terrence J. Sejnowski
For Valid Generalization the Size of the Weights is More Important than the Size of the Network Peter L. Bartlett
Neural Network Modeling of Speech and Music Signals Alex Röbel
Rapid Visual Processing using Spike Asynchrony Simon J. Thorpe, Jacques Gautrais
Visual Cortex Circuitry and Orientation Tuning Trevor Mundel, Alexander Dimitrov, Jack D. Cowan
Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex Klaus Pawelzik, Udo Ernst, Fred Wolf, Theo Geisel

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