Book
Advances in Neural Information Processing Systems 4 (NIPS 1991)
Edited by:
J. Moody and S. Hanson and R.P. Lippmann
- English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald 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 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 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 Douglas
- Image Segmentation with Networks of Variable Scales Hans Graf, Craig Nohl, Jan Ben
- Decoding of Neuronal Signals in Visual Pattern Recognition Emad Eskandar, Barry Richmond, John Hertz, Lance Optican, Troels Kjær
- Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals Marc Cohen, Philippe Pouliquen, Andreas Andreou
- Learning in Feedforward Networks with Nonsmooth Functions Nicholas 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. 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 Anastasio
- Repeat Until Bored: A Pattern Selection Strategy Paul Munro
- Refining PID Controllers using Neural Networks Gary Scott, Jude Shavlik, W. Ray
- A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm N. 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 Lange
- Some Approximation Properties of Projection Pursuit Learning Networks Ying Zhao, Christopher 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 Omohundro
- Neural Computing with Small Weights Kai-Yeung Siu, Jehoshua Bruck
- A Segment-Based Automatic Language Identification System Yeshwant Muthusamy, Ronald 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 Pereira
- Visual Grammars and Their Neural Nets Eric Mjolsness
- Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen 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 Viola, Stephen Lisberger, Terrence J. Sejnowski
- Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell, Alex Pentland
- Induction of Multiscale Temporal Structure Michael C. Mozer
- Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James 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 Zador, Brenda Claiborne, Thomas Brown
- A Neural Network for Motion Detection of Drift-Balanced Stimuli Hilary Tunley
- Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture Ajay Jain
- Hierarchies of adaptive experts Michael Jordan, Robert Jacobs
- Optical Implementation of a Self-Organizing Feature Extractor Dana 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 Boser, Lawrence Jackel
- Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya, Shuji Yoshizawa
- Recurrent Networks and NARMA Modeling Jerome Connor, Les Atlas, Douglas 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 Gish, Mario Blaum
- Self-organization in real neurons: Anti-Hebb in 'Channel Space'? Anthony 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 Glassman
- Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann LeCun, John Denker
- JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay Jain, Arthur McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna
- A Parallel Analog CCD/CMOS Signal Processor Charles Neugebauer, Amnon Yariv
- Iterative Construction of Sparse Polynomial Approximations Terence Sanger, Richard S. Sutton, Christopher Matheus
- A Computational Mechanism to Account for Averaged Modified Hand Trajectories Ealan 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 Singh
- Benchmarking Feed-Forward Neural Networks: Models and Measures Leonard Hamey
- CCD Neural Network Processors for Pattern Recognition Alice Chiang, Michael Chuang, Jeffrey LaFranchise
- A Simple Weight Decay Can Improve Generalization Anders Krogh, John Hertz
- Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images Armando Manduca, Paul Christy, Richard Ehman
- Obstacle Avoidance through Reinforcement Learning Tony Prescott, John 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. Hobson, Adam Mamelak, Jeffrey 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 Jordan
- Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard 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 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 Rumelhart
- A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Huang, Hang Li, Martin Maechler, R. Martin, Jim Schimert
- Unsupervised Classifiers, Mutual Information and 'Phantom Targets John Bridle, Anthony Heading, David MacKay
- Fast, Robust Adaptive Control by Learning only Forward Models Andrew Moore
- Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond Watrous, Gary Kuhn
- Network generalization for production: Learning and producing styled letterforms Igor Grebert, David 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 Sutton, Adam Mamelak, J. Hobson
- Splines, Rational Functions and Neural Networks Robert C. Williamson, Peter Bartlett
- Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker, Geoffrey E. Hinton
- Bayesian Model Comparison and Backprop Nets David MacKay
- Networks for the Separation of Sources that are Superimposed and Delayed John 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 Rivest
- Oscillatory Neural Fields for Globally Optimal Path Planning Michael Lemmon
- Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David Stork, Carla Shatz
- A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem Paul Dean, John Mayhew, Pat Langdon
- Segmentation Circuits Using Constrained Optimization John Harris
- Rule Induction through Integrated Symbolic and Subsymbolic Processing Clayton McMillan, Michael C. 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 Touretzky
- Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark R. Sydorenko, Eric 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 Moody
- Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A. 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 Williams, Michael D. Revow
- Modeling Applications with the Focused Gamma Net José Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro 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 Andreou
- Markov Random Fields Can Bridge Levels of Abstraction Paul Cooper, Peter Prokopowicz
- Information Measure Based Skeletonisation Sowmya Ramachandran, Lorien Pratt
- Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffrey Towell, Jude Shavlik
- Competitive Anti-Hebbian Learning of Invariants Nicol Schraudolph, Terrence J. Sejnowski
- 3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Joshua Gold, Heinrich Bülthoff, Shimon Edelman
- Information Processing to Create Eye Movements David Robinson
- Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald Sumida, Michael Dyer
- Neural Network Routing for Random Multistage Interconnection Networks Mark Goudreau, C. Giles
- Direction Selective Silicon Retina that uses Null Inhibition Ronald 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 Mel
- Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill Ah 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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