0003	On the Use of Projection Pursuit Constraints for Training Neural Networks Nathan Intrator
0011	Hidden Markov Model Induction by Bayesian Model Merging Andreas Stolcke and Stephen Omohundro
0019	Computing with Almost Optimal Size Neural Networks Kai-Yeung Siu, Vwani Roychowdhury, and Thomas Kailath
0027	Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space Janet Wiles and Mark Ollila
0034	Holographic Recurrent Networks Tony A. Plate
0042	Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker, Robert Schapire, and Patrice Simard
0050	Efficient Pattern Recognition Using a New Transformation Distance Patrice Simard, Yann Le Cun, and John Denker
0059	Optimal Depth Neural Networks for Multiplication and Related Problems Kai-Yeung Siu and Vwani Roychowdhury
0065	Using Prior Knowledge in a NNDPA to Learn Context-Free Languages Sreerupa Das, C. Lee Giles, and Guo-Zheng Sun
0073	A Method for Learning from Hints Yaser S. Abu-Mostafa
0081	Q-Learning with Hidden-Unit Restarting Charles W. Anderson

Part II ARCHITECTURES AND ALGORITHMS

0089	Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes Stephen Judd and Paul W. Munro
0099	Interposing an Ontogenic Model Between Genetic Algorithms and Neural Networks Richard K. Belew
0107	Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases J. Jeffrey Mahoney and Raymond J. Mooney
0115	Learning Sequential Tasks by Incrementally Adding Higher Orders Mark Ring
0123	Kohonen Feature Maps and Growing Cell Structures-a Performance Comparison Bernd Fritzke
0131	Metamorphosis Networks: An Alternative to Constructive Models Brian V. Bonnlander and Michael C. Mozer
0139	A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively Eric I. Chang and Richard P. Lippmann
0147	Automatic Capacity Tuning of Very Large VC-Dimension Classifiers I. Guyon, B. Boser, and V. Vapnik
0156	Automatic Learning Rate Maximization in Large Adaptive Machines Yann LeCun, Patrice Y. Simard, and Barak Pearlmutter:
0164	Second Order Derivatives for Network Pruning: Optimal Brain Surgeon Babak Hassibi and David G. Stork
0172	Directional-Unit Boltzmann Machines Richard S. Zemel, Christopher K. I. Williams, and Michael C. Mozer
0180	Time Warping Invariant Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, and Yee-Chun Lee
0188	Generalization Abilities of Cascade Network Architecture E. Littmann and H. Ritter
0196	Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm Gerhard Paass
0204	Discriminability-Based Transfer between Neural Networks L. Y. Pratt
0212	Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation Barry Flower and Marwan Jabri
0220	A Note on Learning Vector Quantization Virginia R. de Sa and Dana H. Ballard
0228	Extended Regularization Methods for Nonconvergent Model Selections W. Finnoff, F. Hergert, and H. G. Zimmermann
0236	Synchronization and Grammatical Inference in an Oscillating Elman Net Bill Baird, Todd Troyer, and Frank Eeckman

Part III CONTROL, NAVIGATION, AND PLANNING

0244	A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization Gert Cauwenberghs
0255	Global Regularization of Inverse Kinematics for Redundant Manipulators David DeMers and Kenneth Kreutz-Delgado
0263	Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping Andrew W. Moore and Christopher G. Atkeson
0271	Feudal Reinforcement Learning Peter Dayan and Geoffrey E. Hinton
0279	Input Reconstruction Reliability Estimation Dean A. Pomerleau
0287	Explanation-based Neural Network Learning for Robot Control Tom M. Mitchell and Sebastian B. Thrun
0295	Reinforcement Learning Applied to Linear Quadratic Regulation Steven J. Bradtke
0303	Neural Network On-Line Learning Control of Spacecraft Smart Structures Christopher Bowman
0311	Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, and Mitsuo Kawato
0319	On Line Estimation of Optimal Control Sequences: HJB Estimators James K. Peterson
0327	Learning Control Under Extreme Uncertainty Vijaykumar Gullapalli
0335	A Practice Strategy for Robot Learning Control Terence D. Sanger
0342	Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance Gerald Fahner and Rolf Eckmiller

Part IV VISUAL PROCESSING

0350	Learning Fuzzy Rule-Based Neural Networks for Control Charles M. Higgins and Rodney M. Goodman
0361	Learning to Categorize Objects Using Temporal Coherence Suzanna Becker
0369	Filter Selection Model for Generating Visual Motion Signals Steven J. Nowlan and Terrence J. Sejnowski
0377	Stimulus Encoding By Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey Edward Stern, Ad Aertsen, Eilon Vaadia, and Shaul Hochstein
0385	The Computation of Stereo Disparity for Transparent and for Opaque Surfaces Suthep Madarasmi, Daniel Kersten, and Ting-Chuen Pong
0393	Some Solutions to the Missing Feature Problem in Vision Subutai Ahmad and Volker Tresp
0401	Improving Convergence in Hierarchical Matching Networks for Object Recognition Joachim Utans and Gene Gindi
0409	A Model of Feedback to the Lateral Geniculate Nucleus Carlos D. Brody
0417	Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections Kevin E. Martin and Jonathan A. Marshall
0425	Remote Sensing Image Analysis via a Texture Classification Neural Network Hayit K. Greens pan and Rodney Goodman
0433	Computation of Heading Direction from Optic Flow in Visual Cortex Markus Lappe and Josef P. Rauschecker

Part V STOCHASTIC LEARNING AND ANALYSIS

0441	Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters Gale Martin, Mosfeq Rashid, David Chapman, and James Pittman
0451	Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria Todd K. Leen and John E. Moody
0459	Diffusion Approximations for the Constant Step Size Backpropogation Algorithm and Resistance to Local Minima William Finnoff
0467	Self-Organizing Rules for Robust Principal Component Analysis Lei Xu and Alan Yuille
0475	Bayesian Learning via Stochastic Dynamics Radford M. Neal
0483	Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, and Naftali Tishby
0491	Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory Alan F. Murray and Peter J. Edwards
0499	Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph and Terrence J. Sejnowski
0507	Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times Genevieve B. Orr and Todd K. Leen
0515	Information Theoretic Analysis of Connection Structure from Spike Trains Satoru Shiono, Satoshi Yamada, Michio Nakashima, and Kenji Matsumoto
0523	Statistical Mechanics of Learning in a Large Committee Machine Hoim Schwarze and John Hertz
0531	Probability Estimation from a Database Using a Gibbs Energy Model John Miller and Rodney M. Goodman

Part VI NETWORK DYNAMICS AND CHAOS

0539	On the Use of Evidence in Neural Networks David H. Wolpert
0549	Destabilization and Route to Chaos in Neural Networks with Random Connectivity Bernard Doyon, Bruno Cessac, Mathias Quoy, and Manuel Samuelides
0556	Predicting Complex Behavior in Sparse Asymmetric Networks Au A. Minai and William B. Levy
0564	Single-iteration Threshold Hamming Networks Isaac Meilijson, Eytan Ruppin, and Moshe Sipper
0572	History-dependent Attractor Neural Networks Isaac Meilijson and Eytan Ruppin

Part VII THEORY AND ANALYSIS

0580	Non-Linear Dimensionality Reduction David DeMers and Garrison Cottrell
0591	On Learning µ-Perceptron Networks with Binary Weights Mostefa Golea, Mario Marchand, and Thomas R. Hancock
0599	Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method Yong Liu
0607	Learning Curves, Model Selection and Complexity of Neural Networks Noboru Murata, Shuji Yoshizawa, and Shun-ichi Amari
0615	The Power of Approximating: A Comparison of Activation Functions Bhaskar Das Gupta and Georg Schnitger
0623	Rational Parameterizations of Neural Networks Uwe Helmke and Robert C. Williamson
0631	Learning Cellular Automaton Dynamics with Neural Networks N. H. Wulff and J. A. Hertz

Part VIII SPEECH AND SIGNAL PROCESSING

0639	Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks Adam Kowalczyk
0649	Context-Dependent Multiple Distribution Phonetic Modeling with MLPs Michael Cohen, Horacio Franco, Nelson Morgan, David Rumelhart, and Victor Abrash
0658	Physiologically Based Speech Synthesis Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, and Misuo Kawato
0666	Analog Cochlear Model for Multiresolution Speech Analysis Weimin Liu, Andreas G. Andreou, and Moise H. Goldstein Jr.
0674	A Hybrid Linear/Nonlinear Approach to Channel Equilization Problems Wei-Tsih Lee and John Pearson
0682	Modeling Consistency in a Speaker Independent Continuous Speech Recognition System Yochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, and Horacio Franco
0688	Transient Signal Detection with Neural Networks: The Search for the Desired Signal Jose C. Principe and Abir Zahalka
0696	Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition Joe Tebelskis and Alex Waibel
0704	A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition George Zavaliagkos, Y. Zhao, R. Schwartz, and J. Makhoul

Part IX APPLICATIONS

0712	Connected Letter Recognition with a Multi-State Time Delay Neural Network Hermann Hild and Alex Waibel
0723	Recognition-Based Segmentation of On-line Hand-Printed Words M. Schenkel, H. Weissman, I. Guyon, C. Nohl, and D. Henderson
0731	Planar Hidden Markov Modeling: from Speech to Optical Character Recognition Esther Levin and Roberto Pieraccini
0739	Forecasting Demand for Electric Power Jen-Lun Yuan and Terrence L. Fine
0747	Hidden Markov Models in Molecular Biology: New Algorithms and Applications Pierre Baldi, Yves Chauvin, Tim Hunkapiller, and Marcella A. McClure

Part X IMPLEMENTATIONS

0755	A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams Charles Rosenberg, Jacob Erel, and Henri Atlan
0765	An Analog VLSI Chip for Radial Basis Functions Janeen Anderson, John C. Platt, and David B. Kirk
0773	Generic Analog Neural Computation-The Epsilon Chip Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, and H. Martin Reekie
0781	Visual Motion Computation in Analog VLSI using Pulses Rahul Sarpeshkar, Wyeth Bair, and Christof Koch
0789	Analog VLSI Implementation of Gradient Descent David B. Kirk, Douglas Kerns, Kurt Fleischer, and Alan H. Barr
0797	An Object-Oriented Framework for the Simulation of Neural Networks A. Linden, Th. Sudbrak, Ch. Tietz, and F. Weber
0805	Attractor Neural Networks with Local Inhibition: from Statistical Physics to a Digital Programmable Integrated Circuit E. Pasero and R. Zecchina
0813	Hybrid Circuits of Interacting Computer Model and Biological Neurons Sylvie Renaud-LeMasson, Gwendal LeMasson, Eve Marder, and L. F. Abbot
0820	Silicon Auditory Processors as Computer Peripherals John Lazzaro, John Wawrzynek, M. Mahowald, Massimo Sivilotti, and Dave Gillespie
0828	Object-Based Analog VLSI Vision Circuits Christof Koch, Bimal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, and Massimo Sivilotti

Part XI COGNITIVE SCIENCE

0836	A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks J. Alspector, R. Meir, B. Yuhas, A. Jayakumar, and D. Lippe
0847	Harmonic Grammars for Formal Languages Paul Smolensky
0855	Analogy-Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Cognition Dedre Gentner and Arthur B. Markman
0863	A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages Michael C. Mozer and Sreerupa Das
0871	Network Structuring and Training Using Rule-based Knowledge Volker Tresp, Jurgen Hollatz, and Subutai Ahmad
0879	A Dynamical Model of Priming and Repetition Blindness Daphne Bavelier and Michael I. Jordan
0887	A Knowledge-Based Model of Geometry Learning Geoffrey Towell and Richard Lehrer
0895	Word Space Hinrich Schutze

Part XII COMPUTATIONAL AND THEORETICAL NEUROBIOLOGY

0903	Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organisation, and Invariant Recognition Rainer Goebel
0913	Mapping Between Neural and Physical Activities of the Lobster Gastric Mill Kenji Doya, Mary E. T. Boyle, and Allen I. Selverston
0921	A Neural Model of Descending Gain Control in the Electrosensory System Mark E. Nelson
0929	Using Hippocampal 'Place Cells' for Navigation, Exploiting Phase Coding Neil Burgess, John O'Keefe, and Michael Recce
0937	Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Function Mark A. Gluck and Catherine E. Myers
0945	Statistical Modeling of Cell-Assemblies Activities in Associative Cortex of Behaving Monkeys Itay Gat and Naftali Tishby
0953	Deriving Receptive Fields Using an Optimal Encoding Criterion Ralph Linsker
0961	Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex Olivier Coenen, Terrence J. Sejnowski, and Stephen G. Lisberger
0969	Using Aperiodic Reinforcement for Directed Self-Organization During Development P. R. Montague, P. Dayan, S. J. Nowlan, and T J. Sejnowski
0977	How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics K. Pawelzik, H.-U. Bauer, J. Deppisch, and I Geisel
0985	Topography and Ocular Dominance with Positive Correlations Geoffrey J. Goodhill
0993	Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons Frank Moss and Andre Longtin
1001	Spiral Waves in Integrate-and-Fire Neural Networks John G. Milton, Po Hsiang Chu, and Jack D. Cowan
1007	Parameterising Feature Sensitive Cell Formation in Linsker Networks in the Auditory System Lance C. Walton and David L. Bisset
1014	A Recurrent Neural Network for Generation of Occular Saccades Lina E. Massone
1022	A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gerard Dreyfus, and Leon Personnaz
1030	An Information-Theoretic Approach to Deciphering the Hippocampal Code William E. Skaggs, Bruce L. McNaughton, and Katalin M. Gothard
1039	Author Index
1043	Index