Advances in Neural Information Processing Systems 5

NIPS 1992

Edited by S. Hanson and J. Cowan and C. Giles

127 papers

Parameterising Feature Sensitive Cell Formation in Linsker Networks in the Auditory System Lance C. Walton, David L. Bisset
Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance Gerald Fahner, Rolf Eckmiller
Hidden Markov Models in Molecular Biology: New Algorithms and Applications Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure
Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons John K. Douglass, Frank Moss, André Longtin
Spiral Waves in Integrate-and-Fire Neural Networks John G. Milton, Po Hsiang Chu, Jack D. Cowan
Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Function Mark A. Gluck, Catherine E. Myers
Computing with Almost Optimal Size Neural Networks Kai-Yeung Siu, Vwani Roychowdhury, Thomas Kailath
Q-Learning with Hidden-Unit Restarting Charles W. Anderson
Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory Alan F. Murray, Peter J. Edwards
Rational Parametrizations of Neural Networks Uwe Helmke, Robert C. Williamson
Directional-Unit Boltzmann Machines Richard S. Zemel, Christopher K. I. Williams, Michael Mozer
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
On the Use of Projection Pursuit Constraints for Training Neural Networks Nathan Intrator
Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm Gerhard Paass
Self-Organizing Rules for Robust Principal Component Analysis Lei Xu, Alan L. Yuille
Intersecting regions: The Key to combinatorial structure in hidden unit space Janet Wiles, Mark Ollila
A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks J. Alspector, R. Meir, B. Yuhas, A. Jayakumar, D. Lippe
A Model of Feedback to the Lateral Geniculate Nucleus Carlos D. Brody
History-Dependent Attractor Neural Networks Isaac Meilijson, Eytan Ruppin
Single-Iteration Threshold Hamming Networks Isaac Meilijson, Eytan Ruppin, Moshe Sipper
Reinforcement Learning Applied to Linear Quadratic Regulation Steven J. Bradtke
The Computation of Stereo Disparity for Transparent and for Opaque Surfaces Suthep Madarasmi, Daniel Kersten, Ting-Chuen Pong
Forecasting Demand for Electric Power Jen-Lun Yuan, Terrence Fine
Visual Motion Computation in Analog VLSI Using Pulses Rahul Sarpeshkar, Wyeth Bair, Christof Koch
Learning Control Under Extreme Uncertainty Vijaykumar Gullapalli
Efficient Pattern Recognition Using a New Transformation Distance Patrice Simard, Yann LeCun, John S. Denker
Planar Hidden Markov Modeling: From Speech to Optical Character Recognition Esther Levin, Roberto Pieraccini
Global Regularization of Inverse Kinematics for Redundant Manipulators David DeMers, Kenneth Kreutz-Delgado
Object-Based Analog VLSI Vision Circuits Christof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti
Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organisation, and Invariant Recognition Rainer Goebel
Second order derivatives for network pruning: Optimal Brain Surgeon Babak Hassibi, David G. Stork
Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors Yann LeCun, Patrice Y. Simard, Barak Pearlmutter
Computation of Heading Direction from Optic Flow in Visual Cortex Markus Lappe, Josef P. Rauschecker
Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys Itay Gat, Naftali Tishby
Harmonic Grammars for Formal Languages Paul Smolensky
Silicon Auditory Processors as Computer Peripherals John Lazzaro, John Wawrzynek, M. Mahowald, Massimo Sivilotti, Dave Gillespie
Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
Improving Convergence in Hierarchical Matching Networks for Object Recognition Joachim Utans, Gene Gindi
A dynamical model of priming and repetition blindness Daphne Bavelier, Michael I. Jordan
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph, Terrence J. Sejnowski
On-Line Estimation of the Optimal Value Function: HJB- Estimators James K. Peterson
Using Aperiodic Reinforcement for Directed Self-Organization During Development P. R. Montague, P. Dayan, S.J. Nowlan, A Pouget, T.J. Sejnowski
A Connectionist Symbol Manipulator That Discovers the Structure of Context-Free Languages Michael Mozer, Sreerupa Das
Analogy-- Watershed or Waterloo? Structural alignment and the development of connectionist models of analogy Dedre Gentner, Arthur B. Markman
A Recurrent Neural Network for Generation of Occular Saccades Lina L.E. Massone
Network Structuring and Training Using Rule-based Knowledge Volker Tresp, Jürgen Hollatz, Subutai Ahmad
Hybrid Circuits of Interacting Computer Model and Biological Neurons Sylvie Renaud-Le Masson, Gwendal Le Masson, Eve Marder, L. F. Abbott
A Knowledge-Based Model of Geometry Learning Geoffrey Towell, Richard Lehrer
Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato
Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison Bernd Fritzke
A Neural Model of Descending Gain Control in the Electrosensory System Mark E. Nelson
Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping Andrew W. Moore, Christopher G. Atkeson
Learning Fuzzy Rule-Based Neural Networks for Control Charles M. Higgins, Rodney M. Goodman
Neural Network On-Line Learning Control of Spacecraft Smart Structures Christopher Bowman
Hidden Markov Model Induction by Bayesian Model Merging Andreas Stolcke, Stephen Omohundro
Statistical Mechanics of Learning in a Large Committee Machine Holm Schwarze, John A. Hertz
An Information-Theoretic Approach to Deciphering the Hippocampal Code William E. Skaggs, Bruce L. McNaughton, Katalin M. Gothard
Using hippocampal 'place cells' for navigation, exploiting phase coding Neil Burgess, John O'Keefe, Michael Recce
Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria Todd K. Leen, John E. Moody
Discriminability-Based Transfer between Neural Networks L. Y. Pratt
Learning Sequential Tasks by Incrementally Adding Higher Orders Mark Ring
Topography and Ocular Dominance with Positive Correlations Geoffrey J. Goodhill
A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition G. Zavaliagkos, Y. Zhao, R. Schwartz, J. Makhoul
A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz
Using Prior Knowledge in a NNPDA to Learn Context-Free Languages Sreerupa Das, C. Lee Giles, Guo-Zheng Sun
A Method for Learning From Hints Yaser S. Abu-Mostafa
Holographic Recurrent Networks Tony A. Plate
Generalization Abilities of Cascade Network Architecture E. Littmann, H. Ritter
Explanation-Based Neural Network Learning for Robot Control Tom M. Mitchell, Sebastian B. Thrun
Some Solutions to the Missing Feature Problem in Vision Subutai Ahmad, Volker Tresp
A Note on Learning Vector Quantization Virginia R. de Sa, Dana H. Ballard
Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistence to Local Minima William Finnoff
Analog Cochlear Model for Multiresolution Speech Analysis Weimin Liu, Andreas G. Andreou, Moise H. Goldstein Jr.
On Learning µ-Perceptron Networks with Binary Weights Mostefa Golea, Mario Marchand, Thomas R. Hancock
A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively Eric I. Chang, Richard P Lippmann
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
How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics K. Pawelzik, H.-U. Bauer, J. Deppisch, T. Geisel
Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation Barry Flower, Marwan Jabri
Extended Regularization Methods for Nonconvergent Model Selection W. Finnoff, F. Hergert, H. G. Zimmermann
Synchronization and Grammatical Inference in an Oscillating Elman Net Bill Baird, Todd Troyer, Frank Eeckman
Attractor Neural Networks with Local Inhibition: from Statistical Physics to a Digitial Programmable Integrated Circuit E. Pasero, R. Zecchina
Metamorphosis Networks: An Alternative to Constructive Models Brian V. Bonnlander, Michael Mozer
A Hybrid Linear/Nonlinear Approach to Channel Equalization Problems Wei-Tsih Lee, John Pearson
Physiologically Based Speech Synthesis Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, Mitsuo Kawato
Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times Genevieve B. Orr, Todd K. Leen
Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition Joe Tebelskis, Alex Waibel
Generic Analog Neural Computation - The EPSILON Chip Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie
Analog VLSI Implementation of Multi-dimensional Gradient Descent David B. Kirk, Douglas Kerns, Kurt Fleischer, Alan H. Barr
Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker, Robert Schapire, Patrice Simard
An Object-Oriented Framework for the Simulation of Neural Nets A. Linden, Th. Sudbrak, Ch. Tietz, F. Weber
A Practice Strategy for Robot Learning Control Terence D. Sanger
Modeling Consistency in a Speaker Independent Continuous Speech Recognition System Yochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, Horacio Franco
Learning to categorize objects using temporal coherence Suzanna Becker
Learning Curves, Model Selection and Complexity of Neural Networks Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari
Optimal Depth Neural Networks for Multiplication and Related Problems Kai-Yeung Siu, Vwani Roychowdhury
Time Warping Invariant Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
Deriving Receptive Fields Using an Optimal Encoding Criterion Ralph Linsker
Connected Letter Recognition with a Multi-State Time Delay Neural Network Hermann Hild, Alex Waibel
Input Reconstruction Reliability Estimation Dean A. Pomerleau
Mapping Between Neural and Physical Activities of the Lobster Gastric Mill Kenji Doya, Mary E. T. Boyle, Allen I. Selverston
A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization Gert Cauwenberghs
Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes Stephen Judd, Paul W. Munro
Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections Kevin E. Martin, Jonathan A. Marshall
Remote Sensing Image Analysis via a Texture Classification Neural Network Hayit K. Greenspan, Rodney Goodman
Filter Selection Model for Generating Visual Motion Signals Steven J. Nowlan, Terrence J. Sejnowski
Non-Linear Dimensionality Reduction David DeMers, Garrison W. Cottrell
Feudal Reinforcement Learning Peter Dayan, Geoffrey E. Hinton
A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams Charles Rosenberg, Jacob Erel, Henri Atlan
Learning Cellular Automaton Dynamics with Neural Networks N. H. Wulff, J A Hertz
Probability Estimation from a Database Using a Gibbs Energy Model John W. Miller, Rodney M. Goodman
Word Space Hinrich Schütze
An Analog VLSI Chip for Radial Basis Functions Janeen Anderson, John C. Platt, David B. Kirk
Predicting Complex Behavior in Sparse Asymmetric Networks Ali A. Minai, William B. Levy
Destabilization and Route to Chaos in Neural Networks with Random Connectivity Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides
Recognition-based Segmentation of On-Line Hand-printed Words M. Schenkel, H. Weissman, I. Guyon, C. Nohl, D. Henderson
Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks Adam Kowalczyk
The Power of Approximating: a Comparison of Activation Functions Bhaskar DasGupta, Georg Schnitger
Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method Yong Liu
Context-Dependent Multiple Distribution Phonetic Modeling with MLPs Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash
On the Use of Evidence in Neural Networks David Wolpert
Automatic Capacity Tuning of Very Large VC-Dimension Classifiers I. Guyon, B. Boser, V. Vapnik
Interposing an ontogenetic model between Genetic Algorithms and Neural Networks Richard K. Belew
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
Transient Signal Detection with Neural Networks: The Search for the Desired Signal José Carlos Príncipe, Abir Zahalka
Information Theoretic Analysis of Connection Structure from Spike Trains Satoru Shiono, Satoshi Yamada, Michio Nakashima, Kenji Matsumoto

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