NeurIPS 1992

127 papers

A Boundary Hunting Radial Basis Function Classifier Which Allocates Centers Constructively Eric I. Chang, Richard P Lippmann

A Connectionist Symbol Manipulator That Discovers the Structure of Context-Free Languages Michael Mozer, Sreerupa Das

A Dynamical Model of Priming and Repetition Blindness Daphne Bavelier, Michael I. Jordan

A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization Gert Cauwenberghs

A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz

A Hybrid Linear/Nonlinear Approach to Channel Equalization Problems Wei-Tsih Lee, John Pearson

A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition G. Zavaliagkos, Y. Zhao, R. Schwartz, J. Makhoul

A Knowledge-Based Model of Geometry Learning Geoffrey Towell, Richard Lehrer

A Method for Learning from Hints Yaser S. Abu-Mostafa

A Model of Feedback to the Lateral Geniculate Nucleus Carlos D. Brody

A Neural Model of Descending Gain Control in the Electrosensory System Mark E. Nelson

A Neural Network That Learns to Interpret Myocardial Planar Thallium Scintigrams Charles Rosenberg, Jacob Erel, Henri Atlan

A Note on Learning Vector Quantization Virginia R. de Sa, Dana H. Ballard

A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks J. Alspector, R. Meir, B. Yuhas, A. Jayakumar, D. Lippe

A Practice Strategy for Robot Learning Control Terence D. Sanger

A Recurrent Neural Network for Generation of Occular Saccades Lina L.E. Massone

Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Function Mark A. Gluck, Catherine E. Myers

An Analog VLSI Chip for Radial Basis Functions Janeen Anderson, John C. Platt, David B. Kirk

An Information-Theoretic Approach to Deciphering the Hippocampal Code William E. Skaggs, Bruce L. McNaughton, Katalin M. Gothard

An Object-Oriented Framework for the Simulation of Neural Nets A. Linden, Th. Sudbrak, Ch. Tietz, F. Weber

Analog Cochlear Model for Multiresolution Speech Analysis Weimin Liu, Andreas G. Andreou, Moise H. Goldstein Jr.

Analog VLSI Implementation of Multi-Dimensional Gradient Descent David B. Kirk, Douglas Kerns, Kurt Fleischer, Alan H. Barr

Analogy-- Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Analogy Dedre Gentner, Arthur B. Markman

Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm Gerhard Paass

Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit E. Pasero, R. Zecchina

Automatic Capacity Tuning of Very Large VC-Dimension Classifiers I. Guyon, B. Boser, V. Vapnik

Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors Yann LeCun, Patrice Y. Simard, Barak Pearlmutter

Bayesian Learning via Stochastic Dynamics Radford M. Neal

Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex Olivier Coenen, Terrence J. Sejnowski, Stephen G. Lisberger

Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases J. Jeffrey Mahoney, Raymond J. Mooney

Computation of Heading Direction from Optic Flow in Visual Cortex Markus Lappe, Josef P. Rauschecker

Computing with Almost Optimal Size Neural Networks Kai-Yeung Siu, Vwani Roychowdhury, Thomas Kailath

Connected Letter Recognition with a Multi-State Time Delay Neural Network Hermann Hild, Alex Waibel

Context-Dependent Multiple Distribution Phonetic Modeling with MLPs Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash

Deriving Receptive Fields Using an Optimal Encoding Criterion Ralph Linsker

Destabilization and Route to Chaos in Neural Networks with Random Connectivity Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides

Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistence to Local Minima William Finnoff

Directional-Unit Boltzmann Machines Richard S. Zemel, Christopher K. I. Williams, Michael Mozer

Discriminability-Based Transfer Between Neural Networks L. Y. Pratt

Efficient Pattern Recognition Using a New Transformation Distance Patrice Simard, Yann LeCun, John S. Denker

Explanation-Based Neural Network Learning for Robot Control Tom M. Mitchell, Sebastian B. Thrun

Extended Regularization Methods for Nonconvergent Model Selection W. Finnoff, F. Hergert, H. G. Zimmermann

Feudal Reinforcement Learning Peter Dayan, Geoffrey E. Hinton

Filter Selection Model for Generating Visual Motion Signals Steven J. Nowlan, Terrence J. Sejnowski

Forecasting Demand for Electric Power Jen-Lun Yuan, Terrence Fine

Generalization Abilities of Cascade Network Architecture E. Littmann, H. Ritter

Generic Analog Neural Computation - The EPSILON Chip Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie

Global Regularization of Inverse Kinematics for Redundant Manipulators David DeMers, Kenneth Kreutz-Delgado

Harmonic Grammars for Formal Languages Paul Smolensky

Hidden Markov Model Induction by Bayesian Model Merging Andreas Stolcke, Stephen Omohundro

Hidden Markov Models in Molecular Biology: New Algorithms and Applications Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure

History-Dependent Attractor Neural Networks Isaac Meilijson, Eytan Ruppin

Holographic Recurrent Networks Tony A. Plate

How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics K. Pawelzik, H.-U. Bauer, J. Deppisch, T. Geisel

Hybrid Circuits of Interacting Computer Model and Biological Neurons Sylvie Renaud-Le Masson, Gwendal Le Masson, Eve Marder, L. F. Abbott

Improving Convergence in Hierarchical Matching Networks for Object Recognition Joachim Utans, Gene Gindi

Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker, Robert Schapire, Patrice Simard

Information Theoretic Analysis of Connection Structure from Spike Trains Satoru Shiono, Satoshi Yamada, Michio Nakashima, Kenji Matsumoto

Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby

Input Reconstruction Reliability Estimation Dean A. Pomerleau

Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato

Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks Richard K. Belew

Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space Janet Wiles, Mark Ollila

Kohonen Feature Maps and Growing Cell Structures - A Performance Comparison Bernd Fritzke

Learning Cellular Automaton Dynamics with Neural Networks N. H. Wulff, J A Hertz

Learning Control Under Extreme Uncertainty Vijaykumar Gullapalli

Learning Curves, Model Selection and Complexity of Neural Networks Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari

Learning Fuzzy Rule-Based Neural Networks for Control Charles M. Higgins, Rodney M. Goodman

Learning Sequential Tasks by Incrementally Adding Higher Orders Mark Ring

Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance Gerald Fahner, Rolf Eckmiller

Learning to Categorize Objects Using Temporal Coherence Suzanna Becker

Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters Gale Martin, Mosfeq Rashid, David Chapman, James A. Pittman

Mapping Between Neural and Physical Activities of the Lobster Gastric Mill Kenji Doya, Mary E. T. Boyle, Allen I. Selverston

Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping Andrew W. Moore, Christopher G. Atkeson

Metamorphosis Networks: An Alternative to Constructive Models Brian V. Bonnlander, Michael Mozer

Modeling Consistency in a Speaker Independent Continuous Speech Recognition System Yochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, Horacio Franco

Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes Stephen Judd, Paul W. Munro

Network Structuring and Training Using Rule-Based Knowledge Volker Tresp, Jürgen Hollatz, Subutai Ahmad

Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method Yong Liu

Neural Network On-Line Learning Control of Spacecraft Smart Structures Christopher Bowman

Non-Linear Dimensionality Reduction David DeMers, Garrison W. Cottrell

Object-Based Analog VLSI Vision Circuits Christof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti

On Learning Μ-Perceptron Networks with Binary Weights Mostefa Golea, Mario Marchand, Thomas R. Hancock

On the Use of Evidence in Neural Networks David Wolpert

On the Use of Projection Pursuit Constraints for Training Neural Networks Nathan Intrator

On-Line Estimation of the Optimal Value Function: HJB- Estimators James K. Peterson

Optimal Depth Neural Networks for Multiplication and Related Problems Kai-Yeung Siu, Vwani Roychowdhury

Parameterising Feature Sensitive Cell Formation in Linsker Networks in the Auditory System Lance C. Walton, David L. Bisset

Perceiving Complex Visual Scenes: An Oscillator Neural Network Model That Integrates Selective Attention, Perceptual Organisation, and Invariant Recognition Rainer Goebel

Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition Joe Tebelskis, Alex Waibel

Physiologically Based Speech Synthesis Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, Mitsuo Kawato

Planar Hidden Markov Modeling: From Speech to Optical Character Recognition Esther Levin, Roberto Pieraccini

Predicting Complex Behavior in Sparse Asymmetric Networks Ali A. Minai, William B. Levy

Probability Estimation from a Database Using a Gibbs Energy Model John W. Miller, Rodney M. Goodman

Q-Learning with Hidden-Unit Restarting Charles W. Anderson

Rational Parametrizations of Neural Networks Uwe Helmke, Robert C. Williamson

Recognition-Based Segmentation of On-Line Hand-Printed Words M. Schenkel, H. Weissman, I. Guyon, C. Nohl, D. Henderson

Reinforcement Learning Applied to Linear Quadratic Regulation Steven J. Bradtke

Remote Sensing Image Analysis via a Texture Classification Neural Network Hayit K. Greenspan, Rodney Goodman

Second Order Derivatives for Network Pruning: Optimal Brain Surgeon Babak Hassibi, David G. Stork

Self-Organizing Rules for Robust Principal Component Analysis Lei Xu, Alan L. Yuille

Silicon Auditory Processors as Computer Peripherals John Lazzaro, John Wawrzynek, M. Mahowald, Massimo Sivilotti, Dave Gillespie

Single-Iteration Threshold Hamming Networks Isaac Meilijson, Eytan Ruppin, Moshe Sipper

Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks Adam Kowalczyk

Some Solutions to the Missing Feature Problem in Vision Subutai Ahmad, Volker Tresp

Spiral Waves in Integrate-and-Fire Neural Networks John G. Milton, Po Hsiang Chu, Jack D. Cowan

Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons John K. Douglass, Frank Moss, André Longtin

Statistical Mechanics of Learning in a Large Committee Machine Holm Schwarze, John A. Hertz

Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys Itay Gat, Naftali Tishby

Stimulus Encoding by Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey Edward Stern, Ad Aertsen, Eilon Vaadia, Shaul Hochstein

Summed Weight Neuron Perturbation: An O(N) Improvement over Weight Perturbation Barry Flower, Marwan Jabri

Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory Alan F. Murray, Peter J. Edwards

Synchronization and Grammatical Inference in an Oscillating Elman Net Bill Baird, Todd Troyer, Frank Eeckman

The Computation of Stereo Disparity for Transparent and for Opaque Surfaces Suthep Madarasmi, Daniel Kersten, Ting-Chuen Pong

The Power of Approximating: A Comparison of Activation Functions Bhaskar DasGupta, Georg Schnitger

Time Warping Invariant Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee

Topography and Ocular Dominance with Positive Correlations Geoffrey J. Goodhill

Transient Signal Detection with Neural Networks: The Search for the Desired Signal José Carlos Príncipe, Abir Zahalka

Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections Kevin E. Martin, Jonathan A. Marshall

Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph, Terrence J. Sejnowski

Using Aperiodic Reinforcement for Directed Self-Organization During Development P. R. Montague, P. Dayan, S.J. Nowlan, A Pouget, T.J. Sejnowski

Using Hippocampal 'place Cells' for Navigation, Exploiting Phase Coding Neil Burgess, John O'Keefe, Michael Recce

Using Prior Knowledge in a NNPDA to Learn Context-Free Languages Sreerupa Das, C. Lee Giles, Guo-Zheng Sun

Visual Motion Computation in Analog VLSI Using Pulses Rahul Sarpeshkar, Wyeth Bair, Christof Koch

Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria Todd K. Leen, John E. Moody

Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times Genevieve B. Orr, Todd K. Leen

Word Space Hinrich Schütze