Advances in Neural Information Processing Systems 4

NIPS 1991

Edited by J. Moody and S. Hanson and R.P. Lippmann

144 papers

English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald A. Cole, Krist Roginski
Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition Gale L. Martin, Mosfeq Rashid
Adaptive Soft Weight Tying using Gaussian Mixtures Steven J. Nowlan, Geoffrey E. Hinton
Multi-State Time Delay Networks for Continuous Speech Recognition Patrick Haffner, Alex Waibel
Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe
Threshold Network Learning in the Presence of Equivalences John Shawe-Taylor
Node Splitting: A Constructive Algorithm for Feed-Forward Neural Networks Mike Wynne-Jones
Structural Risk Minimization for Character Recognition I. Guyon, V. Vapnik, B. Boser, L. Bottou, S. A. Solla
Computer Recognition of Wave Location in Graphical Data by a Neural Network Donald T. Freeman
Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks Elliot Singer, Richard P Lippmann
Connectionist Optimisation of Tied Mixture Hidden Markov Models Steve Renals, Nelson Morgan, Hervé Bourlard, Horacio Franco, Michael Cohen
Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction John Moody, Joachim Utans
Extracting and Learning an Unknown Grammar with Recurrent Neural Networks C. L. Giles, C. B. Miller, D. Chen, G. Z. Sun, H. H. Chen, Y. C. Lee
Network activity determines spatio-temporal integration in single cells Öjvind Bernander, Christof Koch, Rodney J. Douglas
Image Segmentation with Networks of Variable Scales Hans Peter Graf, Craig R. Nohl, Jan Ben
Decoding of Neuronal Signals in Visual Pattern Recognition Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær
Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals Marc H. Cohen, Philippe O. Pouliquen, Andreas G. Andreou
Learning in Feedforward Networks with Nonsmooth Functions Nicholas J. Redding, T. Downs
Constructing Proofs in Symmetric Networks Gadi Pinkus
A Weighted Probabilistic Neural Network David Montana
Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers J. B. Hampshire II, B. V. K. Vijaya Kumar
Multimodular Architecture for Remote Sensing Operations. Sylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crépon
Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation Thomas J. Anastasio
Repeat Until Bored: A Pattern Selection Strategy Paul W. Munro
Refining PID Controllers using Neural Networks Gary M. Scott, Jude W. Shavlik, W. Harmon Ray
A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm N. E. Berthier, S. P. Singh, A. G. Barto, J. C. Houk
Linear Operator for Object Recognition Ronen Basri, Shimon Ullman
Learning Unambiguous Reduced Sequence Descriptions Jürgen Schmidhuber
Dynamically-Adaptive Winner-Take-All Networks Trent E. Lange
Some Approximation Properties of Projection Pursuit Learning Networks Ying Zhao, Christopher G. Atkeson
Unsupervised learning of distributions on binary vectors using two layer networks Yoav Freund, David Haussler
Best-First Model Merging for Dynamic Learning and Recognition Stephen M. Omohundro
Neural Computing with Small Weights Kai-Yeung Siu, Jehoshua Bruck
A Segment-Based Automatic Language Identification System Yeshwant K. Muthusamy, Ronald A. Cole
A Topographic Product for the Optimization of Self-Organizing Feature Maps Hans-Ulrich Bauer, Klaus Pawelzik, Theo Geisel
Learning How to Teach or Selecting Minimal Surface Data Davi Geiger, Ricardo A. Marques Pereira
Visual Grammars and Their Neural Nets Eric Mjolsness
Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski
Illumination and View Position in 3D Visual Recognition Amnon Shashua
Constant-Time Loading of Shallow 1-Dimensional Networks Stephen Judd
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery Hayit K. Greenspan, Rodney Goodman, Rama Chellappa
Experimental Evaluation of Learning in a Neural Microsystem Joshua Alspector, Anthony Jayakumar, Stephan Luna
Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski
Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell, Alex Pentland
Induction of Multiscale Temporal Structure Michael Mozer
Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James T. Buchanan
Single Neuron Model: Response to Weak Modulation in the Presence of Noise A. R. Bulsara, W. Jacobs
Fast Learning with Predictive Forward Models Carlos Brody
Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony M. Zador, Brenda J. Claiborne, Thomas H. Brown
A Neural Network for Motion Detection of Drift-Balanced Stimuli Hilary Tunley
Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture Ajay N. Jain
Hierarchies of adaptive experts Michael I. Jordan, Robert A. Jacobs
Optical Implementation of a Self-Organizing Feature Extractor Dana Z. Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, Mark Saffman
A Neurocomputer Board Based on the ANNA Neural Network Chip Eduard Säckinger, Bernhard E. Boser, Lawrence D. Jackel
Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya, Shuji Yoshizawa
Recurrent Networks and NARMA Modeling Jerome Connor, Les E. Atlas, Douglas R. Martin
ANN Based Classification for Heart Defibrillators M. Jabri, S. Pickard, P. Leong, Z. Chi, B. Flower, Y. Xie
Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes Sheri L. Gish, Mario Blaum
Self-organization in real neurons: Anti-Hebb in 'Channel Space'? Anthony J. Bell
Tangent Prop - A formalism for specifying selected invariances in an adaptive network Patrice Simard, Bernard Victorri, Yann LeCun, John Denker
Human and Machine 'Quick Modeling' Jakob Bernasconi, Karl Gustafson
Practical Issues in Temporal Difference Learning Gerald Tesauro
A Network of Localized Linear Discriminants Martin S. Glassman
Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker
JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay N. Jain, Arthur E. McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna
A Parallel Analog CCD/CMOS Signal Processor Charles F. Neugebauer, Amnon Yariv
Iterative Construction of Sparse Polynomial Approximations Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus
A Computational Mechanism to Account for Averaged Modified Hand Trajectories Ealan A. Henis, Tamar Flash
Learning Global Direct Inverse Kinematics David DeMers, Kenneth Kreutz-Delgado
VISIT: A Neural Model of Covert Visual Attention Subutai Ahmad
Kernel Regression and Backpropagation Training With Noise Petri Koistinen, Lasse Holmström
Recognition of Manipulated Objects by Motor Learning Hiroaki Gomi, Mitsuo Kawato
Temporal Adaptation in a Silicon Auditory Nerve John Lazzaro
Oscillatory Model of Short Term Memory David Horn, Marius Usher
Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods David Haussler, Michael Kearns, Manfred Opper, Robert Schapire
Operators and curried functions: Training and analysis of simple recurrent networks Janet Wiles, Anthony Bloesch
The Efficient Learning of Multiple Task Sequences Satinder P. Singh
Benchmarking Feed-Forward Neural Networks: Models and Measures Leonard G. C. Hamey
CCD Neural Network Processors for Pattern Recognition Alice M. Chiang, Michael L. Chuang, Jeffrey R. LaFranchise
A Simple Weight Decay Can Improve Generalization Anders Krogh, John A. Hertz
Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images Armando Manduca, Paul Christy, Richard Ehman
Obstacle Avoidance through Reinforcement Learning Tony J. Prescott, John E. W. Mayhew
The VC-Dimension versus the Statistical Capacity of Multilayer Networks Chuanyi Ji, Demetri Psaltis
Improving the Performance of Radial Basis Function Networks by Learning Center Locations Dietrich Wettschereck, Thomas Dietterich
Models Wanted: Must Fit Dimensions of Sleep and Dreaming J. Allan Hobson, Adam N. Mamelak, Jeffrey P. Sutton
Merging Constrained Optimisation with Deterministic Annealing to "Solve" Combinatorially Hard Problems Paul Stolorz
Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency Martin Röscheisen, Reimar Hofmann, Volker Tresp
Polynomial Uniform Convergence of Relative Frequencies to Probabilities Alberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza
Forward Dynamics Modeling of Speech Motor Control Using Physiological Data Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan
Learning to Segment Images Using Dynamic Feature Binding Michael Mozer, Richard S. Zemel, Marlene Behrmann
Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model Menashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki
Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Rita Venturini, William W. Lytton, Terrence J. Sejnowski
HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach Hermann Hild, Johannes Feulner, Wolfram Menzel
A Self-Organizing Integrated Segmentation and Recognition Neural Net Jim Keeler, David E. Rumelhart
A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Huang, Hang Li, Martin Maechler, R. Douglas Martin, Jim Schimert
Unsupervised Classifiers, Mutual Information and 'Phantom Targets John S. Bridle, Anthony J. R. Heading, David J. C. MacKay
Fast, Robust Adaptive Control by Learning only Forward Models Andrew W. Moore
Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond L. Watrous, Gary M. Kuhn
Network generalization for production: Learning and producing styled letterforms Igor Grebert, David G. Stork, Ron Keesing, Steve Mims
Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
Constrained Optimization Applied to the Parameter Setting Problem for Analog Circuits David Kirk, Kurt Fleischer, Lloyd Watts, Alan Barr
Fault Diagnosis of Antenna Pointing Systems using Hybrid Neural Network and Signal Processing Models Padhraic Smyth, Jeff Mellstrom
Network Model of State-Dependent Sequencing Jeffrey P. Sutton, Adam N. Mamelak, J. Allan Hobson
Splines, Rational Functions and Neural Networks Robert C. Williamson, Peter L. Bartlett
Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker, Geoffrey E. Hinton
Bayesian Model Comparison and Backprop Nets David J. C. MacKay
Networks for the Separation of Sources that are Superimposed and Delayed John C. Platt, Federico Faggin
Burst Synchronization without Frequency Locking in a Completely Solvable Neural Network Model Heinz Schuster, Christof Koch
Incrementally Learning Time-varying Half-planes Anthony Kuh, Thomas Petsche, Ronald L. Rivest
Oscillatory Neural Fields for Globally Optimal Path Planning Michael Lemmon
Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David G. Stork, Carla J. Shatz
A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem Paul Dean, John E. W. Mayhew, Pat Langdon
Segmentation Circuits Using Constrained Optimization John G. Harris
Rule Induction through Integrated Symbolic and Subsymbolic Processing Clayton McMillan, Michael Mozer, Paul Smolensky
A comparison between a neural network model for the formation of brain maps and experimental data K. Obermayer, K. Schulten, G. G. Blasdel
A Connectionist Learning Approach to Analyzing Linguistic Stress Prahlad Gupta, David S. Touretzky
Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark R. Sydorenko, Eric D. Young
Time-Warping Network: A Hybrid Framework for Speech Recognition Esther Levin, Roberto Pieraccini, Enrico Bocchieri
The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems John E. Moody
Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A. B. Bonds
Statistical Reliability of a Blowfly Movement-Sensitive Neuron Rob de Ruyter van Steveninck, William Bialek
Networks with Learned Unit Response Functions John Moody, Norman Yarvin
Adaptive Elastic Models for Hand-Printed Character Recognition Geoffrey E. Hinton, Christopher K. I. Williams, Michael D. Revow
Modeling Applications with the Focused Gamma Net José Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira
Towards Faster Stochastic Gradient Search Christian Darken, John Moody
Gradient Descent: Second Order Momentum and Saturating Error Barak Pearlmutter
Active Exploration in Dynamic Environments Sebastian B. Thrun, Knut Möller
Data Analysis using G/SPLINES David Rogers
A Contrast Sensitive Silicon Retina with Reciprocal Synapses Kwabena A. Boahen, Andreas G. Andreou
Markov Random Fields Can Bridge Levels of Abstraction Paul R. Cooper, Peter N. Prokopowicz
Information Measure Based Skeletonisation Sowmya Ramachandran, Lorien Y. Pratt
Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffrey Towell, Jude W. Shavlik
Competitive Anti-Hebbian Learning of Invariants Nicol N. Schraudolph, Terrence J. Sejnowski
3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman
Information Processing to Create Eye Movements David A. Robinson
Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald A. Sumida, Michael G. Dyer
Neural Network Routing for Random Multistage Interconnection Networks Mark W. Goudreau, C. Lee Giles
Direction Selective Silicon Retina that uses Null Inhibition Ronald G. Benson, Tobi Delbrück
Software for ANN training on a Ring Array Processor Phil Kohn, Jeff Bilmes, Nelson Morgan, James Beck
The Clusteron: Toward a Simple Abstraction for a Complex Neuron Bartlett W. Mel
Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill Ah Chung Tsoi
Reverse TDNN: An Architecture For Trajectory Generation Patrice Simard, Yann Le Cun
Principles of Risk Minimization for Learning Theory V. Vapnik
Perturbing Hebbian Rules Peter Dayan, Geoffrey Goodhill

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