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NIPS*1991
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| Title Pages [ps][pdf][djvu] Models Wanted: Must Fit Dimensions of Sleep and Dreaming J. Allan Hobson, Adam N. Mamelak, and Jeffrey P. Sutton [ps][pdf][djvu] Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark Sydorenko and Eric D. Young [ps][pdf][djvu] Perturbing Hebbian Rules Peter Dayan and Geoffrey Goodhill [ps][pdf][djvu] Statistical Reliability of a Blowfly Movement-Sensitive Neuron Rob de Ruyter van Steveninck and William Bialek [ps][pdf][djvu] The Clusteron: Toward a Simple Abstraction for a Complex Neuron Bartlett W. Mel [ps][pdf][djvu] Network activity determines spatio-temporal integration in single cells Ojvind Bernander, Christof Koch, and Rodneyl Douglas [ps][pdf][djvu] Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony M. Zador, Brendaf Clai borne, and Thomas H. Brown [ps][pdf][djvu] Self-organisation in real neurons: Anti-Hebb in 'Channel Space'? Anthony J. Bell [ps][pdf][djvu] Single Neuron Model: Response to Weak Modulation in the Presence of Noise A.R. Bulsara, E.W. Jacobs, and F. Moss [ps][pdf][djvu] Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A.B. Bonds [ps][pdf][djvu] A comparison between a neural netwok model for the formation of brain maps and experimental data K. Obermszyer, K. Schulten, and G. G. Blasdel [ps][pdf][djvu] Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David G. Stork, and Carla J. Shatz [ps][pdf][djvu] Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James T. Buchanan [ps][pdf][djvu] Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya and Shuji Yoshizawa [ps][pdf][djvu] Burst Synchronization without Frequency Locking in a Completely Solvable Network Model Heinz Schuster and Christof Koch [ps][pdf][djvu] Oscillatory Model of Short Term Memory David Horn and Marius Usher [ps][pdf][djvu] Multi-State Time Delay Neural Networks for Continuous Speech Recognition Patrick Haffner andAlex Waibel [ps][pdf][djvu] Modeling Applications with the Focused Gamma Net Jose C. Principe, Bert de Vries, Jyh Ming Kuo, Pedro Guedes de Oliveira [ps][pdf][djvu] Time-Warping Network: A Hybrid Framework for Speech Recognition Esther Levin, Roberto Pieraccini, and Enrico Bocchieri [ps][pdf][djvu] Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks Elliot Singer and Richard P. Lippmann [ps][pdf][djvu] Connectionist Optimisation of Tied Mixture Hidden Markov Models Steve Renals, Nelson Morgan, Herve Bourlard, Horacio Franco, and Michael Cohen [ps][pdf][djvu] Neural Network--Gaussian Mixture Hybrid for Speech Recognition or Density Estimation Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe [ps][pdf][djvu] JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay N. fain, Arthru McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, and Monika Woszczyna [ps][pdf][djvu] Forward Dynamics Modeling of Speech Motor Control Using Physiological Data Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, and Michael I. Jordan [ps][pdf][djvu] English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald A. Cole, and Krist Roginski [ps][pdf][djvu] Generalization Performance in PARSEC-A Structured Connectionist Parsing Architecture Ajay N. fain [ps][pdf][djvu] Constructing Proofs in Symmetric Networks Gadi Pinkas [ps][pdf][djvu] A Connectionist Learning Approach to Analyzing Linguistic Stress Prahlad Gupta and David S. Thuretzky [ps][pdf][djvu] Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald A. Sumida and Michael G. Dyer [ps][pdf][djvu] A Segment-based Automatic Language Identification System Yeshwant K. Muthusamy and Ronald A. Cole [ps][pdf][djvu] The Efficient Learning of Multiple Task Sequences Satinder P. Singh [ps][pdf][djvu] Practical Issues in Temporal Difference Learning Gerald Tesauro [ps][pdf][djvu] HARMONET: A Neural Net for Harmonizing Chorales in the Style of J.S. Bach Hermann Hild, Johannes Feulner, and Wolfram Menzel [ps][pdf][djvu] Induction of Multiscale Temporal Structure Michael C. Mozer [ps][pdf][djvu] Network Model of State-Dependent Sequencing Jeffley P. Sutton, Adam N. Mamelak, and J. Allan Hobson [ps][pdf][djvu] Learning Unambiguous Reduced Sequence Descriptions Jurgen Schmidhuber [ps][pdf][djvu] Recurrent Networks and NARMA Modeling Jerome Connor, Les E. Atlas, and Douglas R. Martin [ps][pdf][djvu] Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond L. Watrous, and Gary M. Kuhn [ps][pdf][djvu] Extracting and Learning an Unknown Grammar with Recurrent Neural Networks C.L. Giles, C.B. Miller, D. Chen, G.Z. Sun, H.H. Chen, and Y.C. Lee [ps][pdf][djvu] Operators and curried functions: Training and analysis of simple recurrent networks Janet Wiles and Anthony Bloesch [ps][pdf][djvu] Green's Function Method for Fast On-line Learning Algorithm of Recurrent Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, and Yee-Chun Lee [ps][pdf][djvu] Dynamically-Adaptive Winner-Take-All Networks Trent E. Lange [ps][pdf][djvu] Information Processing to Create Eye Movements David A. Robinson [ps][pdf][djvu] Decoding of Neuronal Signals in Visual Pattern Recognition Emad N. Eskandar, Barryf. Richmond, John A. Hertz, Lance M. Optican, and Troels Kjer [ps][pdf][djvu] Learning How to Teach or Selecting Minimal Surface Data Davi Geiger and Ricardo A. Marques Pereira [ps][pdf][djvu] Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker and Geoffley E. Hinton [ps][pdf][djvu] Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion P.A. Viola, S. G. Lisberger, and T.J. Sejnowski [ps][pdf][djvu] Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell and Alex Pentland [ps][pdf][djvu] Markov Random Fields Can Bridge Levels of Abstraction Paul R. Cooper and Peter N. Prokopowicz [ps][pdf][djvu] Illumination and View Position in 3D Visual Recognition Amnon Shashua [ps][pdf][djvu] Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen A. Fisher, and Terrence J. Sejnowski [ps][pdf][djvu] VISIT: A Neural Model of Covert Visual Attention Subutai Ahmad [ps][pdf][djvu] Visual Grammars and their Neural Nets Eric Mjolsness [ps][pdf][djvu] Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard S. Zemel, and Marlene Behrmann [ps][pdf][djvu] Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery Hayit K. Greenspan, Rodney Goodman, and Rama Chellappa [ps][pdf][djvu] Linear Operator for Object Recognition Ronen Basri and Shimon Ullman [ps][pdf][djvu] 3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Josh I. Gold, Heinrich H. Bulthoffi and Shimon Edelman [ps][pdf][djvu] Structural Risk Minimization for Character Recognition I. Guyon, V. Vapnik, B. Boser, L. Bottou, and S.A. Solla [ps][pdf][djvu] Image Segmentation with Networks of Variable Scales Hans P. Graf, Craig R. Nohl, and Jan Ben [ps][pdf][djvu] Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann Le Cun, and John S. Denker [ps][pdf][djvu] A Self-Organizing Integrated Segmentation and Recognition Neural Net Jim Keeler and David E. Rumelhart [ps][pdf][djvu] Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition Gale L. Martin and Mosfeq Rashid [ps][pdf][djvu] Adaptive Elastic Models for Hand-Printed Character Recognition Geoffrey E. Hinton, Christophe K.I. Williams, and Michael D. Revow [ps][pdf][djvu] Obstacle Avoidance through Reinforcement Learning Tony J. Prescott and John E. W. Mayhew [ps][pdf][djvu] Active Exploration in Dynamic Environments Sebastian B. Thrun and Knut Moller [ps][pdf][djvu] Oscillatory Neural Fields for Globally Optimal Path Planning Michael Lemmon [ps][pdf][djvu] Recognition of Manipulated Objects by Motor Learning Hiroaki Gomi and Mitsuo Kawato [ps][pdf][djvu] Refining PID Controllers using Neural Networks Gary M. Scott, Jude W. Shavlik, and W. Harmon Ray [ps][pdf][djvu] Fast Learning with Predictive Forward Models Carlos Brody [ps][pdf][djvu] Fast, Robust Adaptive Control by Learning only Forward Models Andrew W. Moore [ps][pdf][djvu] Reverse TDNN: An Architecture for Trajectory Generation Patrice Simard and Yann Le Cun [ps][pdf][djvu] Learning Global Direct Inverse Kinematics David DeMers and Kenneth Kreutz-Delgado [ps][pdf][djvu] A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem Paul Dean, John E. W. Mayhew, and Pat Langdon [ps][pdf][djvu] Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation Thomas J. Anastasio [ps][pdf][djvu] 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, and J.C. Houk [ps][pdf][djvu] A Computational Mechanism to Account for Averaged Modified Hand Trajectories Ealan A. Henis and Tamar Flash [ps][pdf][djvu] Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model Menashe Dornay, Yoji Uno, Mitsuo Kawato, and Ryoji Suzuki [ps][pdf][djvu] ANN Based Classification for Heart Defibrillators M. Jabri, S. Pickard, P. Leong, Z. Chi, B. Flower, and Y. Xie [ps][pdf][djvu] Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images Armando Manduca, Paul Christy, and Richard Ehman [ps][pdf][djvu] Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Rita Venturini, William W. Lytton, and Terrence J. Sejnowski [ps][pdf][djvu] Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency Martin Roscheisen, Reimar Hofmann, and Volker Tresp [ps][pdf][djvu] Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models Padhraic Smyth and Jeff Mellstrom [ps][pdf][djvu] Multimodular Architecture for Remote Sensing Options Sylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crepon [ps][pdf][djvu] Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction John Moody and Joachim Utans [ps][pdf][djvu] Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes Sheri L. Gish and Mario Blaum [ps][pdf][djvu] Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill Ah Chung Tsoi [ps][pdf][djvu] Computer Recognition of Wave Location in Graphical Data by a Neural Network Donald T. Freeman [ps][pdf][djvu] A Neural Network for Motion Detection of Drift-Balanced Stimuli Hilary Tunley [ps][pdf][djvu] Neural Network Routing for Random Multistage Interconnection Networks Mark W. Goudreau and C. Lee Giles [ps][pdf][djvu] Networks for the Separation of Sources that are Superimposed and Delayed John C. Platt and Federico Faggin [ps][pdf][djvu] CCD Neural Network Processors for Pattern Recognition Alice M. Chiang, Michael L. Chuang, and Jeffrey R. LaFranchise [ps][pdf][djvu] A Parallel Analog CCD/CMOS Signal Processor Charles F. Neugebauer and Amnon Yariv [ps][pdf][djvu] Direction Selective Silicon Retina that uses Null Inhibition Ronald G. Benson and Tobi Delbruck [ps][pdf][djvu] A Contrast Sensitive Silicon Retina with Reciprocal Synapses Kwabena A. Boahen and Andreas G. Andreou [ps][pdf][djvu] A Neurocomputer Board Based on the ANNA Neural Network Chip Eduard Sackinger, Bernhard E. Boser, and Lawrence D. Jackel [ps][pdf][djvu] Software for ANN training on a Ring Array Processor Phil Kohn, Jeff Bilmes, Nelson Morgan, and James Beck [ps][pdf][djvu] Constrained Optimization Applied to the Parameter Setting Problem for Analog Circuits David Kirk, Kurt Fleischer, Lloyd Watts, and Alan Barr [ps][pdf][djvu] Segmentation Circuits Using Constrained Optimization John G. Harris [ps][pdf][djvu] Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals Marc H. Cohen, Phillipe O. Pouliquen, and Andreas G. Andreou [ps][pdf][djvu] Temporal Adaptation in a Silicon Auditory Nerve John Lazzaro [ps][pdf][djvu] Optical Implementation of a Self-Organizing Feature Extractor Dana Z. Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, and Mark Saffman [ps][pdf][djvu] Principles of Risk Minimization for Learning Theory V. Vapnik [ps][pdf][djvu] Bayesian Model Comparison and Backprop Nets David J. C. MacKay [ps][pdf][djvu] The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems John E. Moody [ps][pdf][djvu] Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods David Haussler, Michael Kearns, Manfred Opper, and Robert Schapire [ps][pdf][djvu] Constant-Time Loading of Shallow 1-Dimensional Networks Stephen Judd [ps][pdf][djvu] Experimental Evaluation of Learning in a Neural Microsystem Joshua Alspector, Anthony Jayakumar, and Stephan Luna [ps][pdf][djvu] Threshold Network Learning in the Presence of Equivalences John Shawe-Taylor [ps][pdf][djvu] Gradient Descent: Second Order Momentum and Saturating Error Barak Pearlmutter [ps][pdf][djvu] Tangent Prop--A formalism for specifying selected invariances in an adaptive network Patrice Simard, Bernard Victorri, Yann Le Cun, and John Denker [ps][pdf][djvu] Polynomial Uniform Convergence of Relative Frequencies to Probabilities Alberto Bertoni, Paola Campadelli, Anna Morpurgo, and Sandra Panizza [ps][pdf][djvu] Unsupervised learning of distributions on binary vectors using 2-layer networks Yoav Freund and David Haussler [ps][pdf][djvu] Incrementally Learning Time-varying Half-planes Anthony Kuh, Thomas Petsche, and Ron L. Rivest [ps][pdf][djvu] The VC-Dimension versus the Statistical Capacity of Multilayer Networks Chuanyi Ji and Demetri Psaltis [ps][pdf][djvu] Some Approximation Properties of Projection Pursuit Learning Networks Ying Zhao and Christopher G. Atkeson [ps][pdf][djvu] Neural Computing with Small Weights Kai-Yeung Siu and Jehoshua Bruck [ps][pdf][djvu] A Simple Weight Decay Can Improve Generalization Anders Krogh and John A. Hertz [ps][pdf][djvu] Best-First Model Merging for Dynamic Learning and Recognition Stephen M. Omohundro [ps][pdf][djvu] Rule Induction through Integrated Symbolic and Subsymbolic Processing Clayton McMillan, Michael C. Mozer, and Paul Smolensky [ps][pdf][djvu] Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffiry Towell and Jude W. Shavlik [ps][pdf][djvu] Hierarchies of adaptive experts Michael I. Jordan and Robert A. Jacobs [ps][pdf][djvu] Adaptive Soft Weight Tying using Gaussian Mixtures Steven J. Nowlan and Geoffrey E. Hinton [ps][pdf][djvu] Repeat Until Bored: A Pattern Selection Strategy Paul W. Munro [ps][pdf][djvu] Towards Faster Stochastic Gradient Search Christian Darken and John Moody [ps][pdf][djvu] Competitive Anti-Hebbian Learning of Invariants Nicol N. Schraudolph and Terrence J. Sejnowski [ps][pdf][djvu] Merging Constrained Optimisation with Deterministic Annealing to Paul Stolorz [ps][pdf][djvu] Kernel Regression and Backpropagation Training with Noise Patti Koistinen and Lasse Holmstrom [ps][pdf][djvu] Splines, Rational Functions and Neural Networks Robert C. Williamson and Peter L. Bartlett [ps][pdf][djvu] Networks with Learned Unit Response Functions John Moody and Norman Yarvin [ps][pdf][djvu] Learning in Feedforward Networks with Nonsmooth Functions Nicholas J. Redding and T. Downs [ps][pdf][djvu] Iterative Construction of Sparse Polynomial Approximations Terence D. Sanger, Richard S. Sutton, and Christopher J. Matheus [ps][pdf][djvu] Node Splitting: A Contructive Algorithm for Feed-Forward Neural Networks Mike Wynne-Jones [ps][pdf][djvu] Information Measure Based Skeletonisation Sowmya Ramachandran and Lorien Y. Pratt [ps][pdf][djvu] Data Analysis Using G/Splines David Rogers [ps][pdf][djvu] Unsupervised Classifiers, Mutual Information and 'Phantom Targets' John S. Bridle, Anthony J.R. Heading, and David J. C. MacKay [ps][pdf][djvu] A Network of Localized Linear Discriminants Martin S. Glassman [ps][pdf][djvu] A Weighted Probabilistic Neural Network David Montana [ps][pdf][djvu] Network generalization for production: Learning and producing styled letterforms Igor Grebert, David G. Stork, Ron Keesing, and Steve Mims [ps][pdf][djvu] Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers J.B. Hampshire II and B.V.K. VijayaKumar [ps][pdf][djvu] Improving the Performance of Radial Basis Function Networks by Learning Center Locations Dietrich Wettschereck and Thomas Dietterich [ps][pdf][djvu] A Topograhic Product for the Optimization of Self-Organizing Feature Maps Hans-Ulrich Bauer, Klaus Pawelzik, and Theo Geisel [ps][pdf][djvu] Human and Machine 'Quick Modeling' Jakob Bernasconi and Karl Gustafson [ps][pdf][djvu] A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Hwang, Hang Li, Martin Maechler, R. Douglas Martin, and Jim Schimert [ps][pdf][djvu] Benchmarking Feed-Forward Neural Networks: Models and Measures Leonard G.C. Hamey [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] Author Index [ps][pdf][djvu] |