0003	Autoencoders, Minimum Description Length, and Helmholtz Free Energy Geoffrey E. Hinton and Richard S. Zemel
0011	Developing Population Codes by Minimizing Description Length Richard S. Zemel and Geoffrey E. Hinton
0019	A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction Sreerupa Das and Michael C. Mozer
0027	Unsupervised Learning of Mixtures of Multiple Causes in Binary Data Eric Saund
0035	Fast Pruning Using Principal Components Asriel U Levin, Todd K. Leen, and John E. Moody
0043	Surface Learning with Applications to Lipreading Christoph Bregler and Stephen M. Omohundro
0051	When Will a Genetic Algorithm Outperform Hill Climbing? Melanie Mitchell, John H. Holland, and Stephanie Forrest
0059	Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation Oded Maron and Andrew W. Moore
0067	Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network Bill Baird, Todd Troyer, and Frank Eeckman
0075	Credit Assignment through Time: Alternatives to Backpropagation Yoshua Bengio and Paolo Frasconi
0083	A Local Algorithm to Learn Trajectories with Stochastic Neural Networks Javier R. Movellan
0088	Structural and Behavioral Evolution of Recurrent Networks Gregory M. Saunders, Peter J. Angeline, and Jordan B. Pollack
0096	Clustering with a Domain-Specific Distance Measure Steven Gold, Eric Mjolsness, and Anand Rangarajan
0104	Central and Pairwise Data Clustering by Competitive Neural Networks Joachim Buhmann and Thomas Hofmann
0112	Learning Classification with Unlabeled Data Virginia R. de Sa
0120	Supervised Learning from Incomplete Data via an EM Approach Zoubin Ghahramani and Michael I. Jordan
0128	Training Neural Networks with Deficient Data Volker Tresp, Subutai Ahmad, and Ralph Neuneier
0136	Unsupervised Parallel Feature Extraction from First Principles Mats Osterberg and Reiner Lenz
0144	Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples Terence D. Sanger
0152	Fast Non-Linear Dimension Reduction Nanda Kambhatla and Todd K. Leen
0160	Assessing the Quality of Learned Local Models Stefan Schall and Christopher G. Atkeson
0168	Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering Patrice Y Simard
0176	The Power of Amnesia Dana Ron, Yoram Singer, and Naftali Tishby
0184	Locally Adaptive Nearest Neighbor Algorithms Dietrich Wettschereck and Thomas G. Dietterich
0192	Robust Parameter Estimation and Model Selection for Neural Network Regression Yong Liu
0200	Bayesian Backpropagation over I-O Functions Rather Than Weights David H. Wolpert
0208	Bayesian Backprop in Action: Pruning, Committees, Error Bars, and an Application to Spectroscopy Hans Henrik Thodberg
0216	A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction Thomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, and Tomas Lozano-Perez
0224	Combined Neural Networks for Time Series Analysis Iris Ginzburg and David Horn
0232	Backpropagation without Multiplication Patrice Y. Simard and Hans Peter Graf
0240	A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi-Layer Perceptron Richard T. J. Bostock and Alan J. Harget
0247	Adaptive Knot Placement for Nonparametric Regression Hossein L. Najafi and Vladimir Cherkassky
0255	Supervised Learning with Growing Cell Structures Bernd Fritzke
0263	Optimal Brain Surgeon: Extensions and Performance Comparisons Babak Hassibi, David G. Stork, Gregory Wolff, and Takahiro Watanabe
0271	Generation of Internal Representation by α-Transformation Ryotaro Kamimura
0279	Constructive Learning Using Internal Representation Conflicts Laurens R. Leerink and Marwan A. Jabri
0285	Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data Joachim Utans

PART II LEARNING THEORY, GENERALIZATION, AND COMPLEXITY

0293	An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion Sumio Watanabe
0303	Optimal Stopping and Effective Machine Complexity in Learning Changfeng Wang, Santosh S. Venkatesh, and J. Stephen Judd
0311	Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass
0319	How to Choose an Activation Function H. N. Mhaskar and C. A. Micchelli
0327	Learning Curves: Asymptotic Values and Rate of Convergence Corinna Cortes, L. D. Jackel, Sara A. Solla, Vladimir Vapnik, and John S. Denker
0335	Recovering a Feed-Forward Net from Its Output Charles Fefferman and Scott Markel
0343	Use of Bad Training Data for Better Predictions Tal Grossman and Alan Lapedes
0351	H∞ Optimality Criteria for LMS and Backpropagation Babak Hassibi, Ali H. Sayed, and Thomas Kailath
0359	Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines Bill G. Home and Don R. Hush
0367	Generalization Error and the Expected Network Complexity Chuanyi Ji
0375	Counting Function Theorem for Multi-Layer Networks Adam Kowalczyk
0383	Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization O. L. Mangasarian and M. V. Solodov
0391	Cross-Validation Estimates IMSE Mark Plutowski, Shinichi Sakata, and Halbert White
0399	Discontinuous Generalization in Large Committee Machines H. Schwarze and J. Hertz
0407	Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks Jonathan L. Shapiro and Adam Prugelo-Bennett
0415	Structured Machine Learning for "Soft" Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, and Barbara Klein
0423	Solvable Models of Artificial Neural Networks Sumio Watanabe

PART III THEORETICAL ANALYSIS: DYNAMICS AND STATISTICS

0431	On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks Herbert Wiklicky
0439	The Statistical Mechanics of k-Satisfaction Scott Kirkpatrick, Geza Gyorgyi, Naftali Tishby, and Lidror Troyansky
0447	Coupled Dynamics of Fast Neurons and Slow Interactions A.C.C. Coolen, R. W. Penney, and D. Sherrington
0455	Observability of Neural Network Behavior Max Garzon and Fernanda Botelho
0463	How to Describe Neuronal Activity: Spikes, Rates, or Assemblies Wulfram Gerstner and J. Leo van Hemmen
0471	Correlation Functions in a Large Stochastic Neural Network Iris Ginzburg and Haim Sompolinsky
0477	Optimal Stochastic Search and Adaptive Momentum Todd K. Leen and Genevieve B. Orr
0485	Optimal Signalling in Attractor Neural Networks Isaac Meilijson and Eytan Ruppin
0493	Asynchronous Dynamics of Continuous Time Neural Networks Xin Wang, Qingnan Li, and Edward K. Blum

PART IV NEUROSCIENCE

0501	Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics John F. Kolen
0511	Dynamic Modulation of Neurons and Networks Eve Marder
0519	Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells Ojvind Bernander, Christof Koch, and Rodney J. Douglas
0527	Odor Processing in the Bee: A Preliminary Study of the Role of Central Input to the Antennal Lobe Christiane Linster, David Marsan, Claudine Masson, and Michel Kerszberg
0535	Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons Mitchell Gil Maltenfort, Robert E. Druzinsky, C. J. Heckman, and W. Zev Rymer
0543	Development of Orientation and Ocular Dominance Columns in Infant Macaques Klaus Obermayer, Lynne Kiorpes, and Gary G. Blasdel
0551	Statistics of Natural Images: Scaling in the Woods Daniel L. Ruderman and William Bialek
0559	Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina Eric Boussard and Jean-Francois Vibert
0566	A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillation Kenji Doya, Allen I. Selverston, and Peter F. Rowat
0574	Directional Hearing by the Mauthner System Audrey L. Guzik and Robert C. Eaton
0582	An Analog VLSI Saccadic Eye Movement System Timothy K. Horiuchi, Brooks Bishofberger, and Christof Koch
0590	Bayesian Modeling and Classification of Neural Signals Michael S. Lewicki
0598	Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Read Montague, Peter Dayan, and Terrence J. Sejnowski
0606	A Connectionist Model of the Owl's Sound Localization System Daniel J. Rosen, David E. Rumelhart, and Eric I. Knudsen
0614	Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements Terence D. Sanger
0622	An Analog VLSI Model of Central Pattern Generation in the Leech Micah S. Siegel

PART V CONTROL, NAVIGATION, AND PLANNING

0629	Synchronization, Oscillations, and l/f Noise in Networks of Spiking Neurons Martin Stemmler, Marius Usher, Christof Koch, and Zeev Olami
0639	Transition Point Dynamic Programming Kenneth M. 0Buckland and Peter D. Lawrence
0647	Exploiting Chaos to Control the Future Gary W. Flake, Guo-Zhen Sun, Yee-Chun Lee, and Hsing-Hen Chen
0655	Robust Reinforcement Learning in Motion Planning Satinder P. Singh, Andrew G. Barto, Roderic Grupen, and Christopher Connolly
0663	Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming Christopher G. Atkeson
0671	Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach Justin A. Boyan and Michael L. Littman
0679	Neural Network Exploration Using Optimal Experiment Design David A. Cohn
0687	Monte Carlo Matrix Inversion and Reinforcement Learning Andrew Barto and Michael Duff
0695	Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms Vijaykumar Gullapalli and Andrew G. Barto
0703	Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi Jaakkola, Michael I. Jordan, and Satinder P Singh
0711	The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces Andrew W. Moore
0719	Mixtures of Controllers for Jump Linear and Non-Linear Plants Timothy W. Cacciatore and Steven J. Nowlan

PART VI APPLICATIONS

0727	A Computational Model for Cursive Handwriting Based on the Minimization Principle Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, and Mitsuo Kawato
0737	Signature Verification Using a "Siamese" Time Delay Neural Network Jane Bromley, Isabelle Guyon, Yann Le Cun, Eduard Sackinger, and Roopak Shah
0745	Postal Address Block Location Using a Convolutional Locator Network Ralph Wolf and John C. Platt
0753	Non-Intrusive Gaze Tracking Using Artificial Neural Networks Shumeet Baluja and Dean Pomerleau
0761	Hidden Markov Models for Human Genes Pierre Baldi, Soren Brunak, Yves Chauvin, Jacob Engelbrecht, and Anders Krogh
0769	Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina Joachim M. Buhmann, Martin Lades, and Frank Eeckman
0777	Recognition-Based Segmentation of On-Line Cursive Handwriting Nicholas S. Flann
0785	Address Block Location with a Neural Net System Hans Peter Graf and Eric Cosatto
0793	Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study N. Karunanithi
0801	Comparison Training for a Rescheduling Problem in Neural Networks Didier Keymeulen and Martine de Gerlache
0809	Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes Alan Lapedes, Evan Steeg, and Robert Farber
0817	Temporal Difference Learning of Position Evaluation in the Game of Go Nico N. Schraudolph, Peter Dayan, and Terrence J. Sejnowski
0825	Probabilistic Anomaly Detection in Dynamic Systems Padhraic Smyth

PART VII IMPLEMENTATIONS

0833	Decoding Cursive Scripts Yoram Singer and Naftali Tishby
0843	A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications Michael A. Glover and W. Thomas Miller III
0850	A Hybrid Radial Basis Function Neurocomputer and Its Applications Steven S. Watkins, Paul M. Chau, Raoul Tawel, Bjorn Lambrigsten, and Mark Plutowski
0858	A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics Gert Cauwenberghs
0866	VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems Andreas G. Andreou and Thomas G. Edwards
0874	WATTLE: A Trainable Gain Analogue VLSI Neural Network Richard Coggins and Marwan Jabri
0882	The "Softmax" Nonlinearity: Derivation Using Statistical Mechanics and Useful Properties as a Multiterminal Analog Circuit Element I. M. Elfadel and J. L. Wyatt, Jr.
0888	High Performance Neural Net Simulation on a Multiprocessor System with "Intelligent" Communication Urs A. Muller, Michael Kocheisen, and Anton Gunzinger
0896	Digital Boltzmann VLSI for Constraint Satisfaction and Learning Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Bur, Gregory J. Wolff Takahiro Watanabe, Edward Schwartz, David G. Stork, and Allen M. Peterson
0904	Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture Ernst Niebur and Dean Brettle
0911	Learning Complex Boolean Functions: Algorithms and Applications Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli
0919	Implementing Intelligence on Silicon Using Neuron-Like Functional MOS Transistors Tadashi Shibata, Koji Kotani, Takeo Yamashita, Hiroshi Ishii, Hideo Kosaka, and Tadahiro Ohmi

PART VIII VISUAL PROCESSING

0927	Event-Driven Simulation of Networks of Spiking Neurons Lloyd Watts
0937	Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models Yoshua Bengio, Yann Le Cun, and Donnie Henderson
0945	Classifying Hand Gestures with a View-Based Distributed Representation Trevor J. Darrell and Alex P Pentland
0953	A Network Mechanism for the Determination of Shape-from-Texture Ko Sakai and Leif H. Finkel
0961	Feature Densities Are Required for Computing Feature Correspondences Subutai Ahmad
0969	The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields G. T. Buracas and T. D. Albright
0977	Resolving Motion Ambiguities K. I. Diamantaras and D. Geiger
0985	Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching Chien-Ping Lu and Eric Mjolsness
0993	Dual Mechanisms for Neural Binding and Segmentation Paul Sajda and Leif H. Finkel

PART IX SPEECH AND SIGNAL PROCESSING

1001	Bayesian Self-Organization Alan L. Yuille, Stelios M. Smirnakis, and Lei Xu
1011	Analysis of Short Term Memories for Neural Networks Jose C. Principe, Hui-H. Hsu, and Jyh-Ming Kuo
1019	Figure of Merit Training for Detection and Spotting Eric I. Chang and Richard P Lippmann
1027	Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration Gregory J. Wolff K. Venkatesh Prasad, David G. Stork, and Marcus Hennecke
1035	Speaker Recognition Using Neural Tree Networks Kevin R. Farrell and Richard J. Mammone
1043	Inverse Dynamics of Speech Motor Control Makoto Hirayama, Eric Vatikiotis-Bateson, and Mitsuo Kawato
1051	Learning Temporal Dependencies in Connectionist Speech Recognition Steve Renals, Mike Hochberg, and Tony Robinson

PART X COGNITIVE SCIENCE

1059	Segmental Neural Net Optimization for Continuous Speech Recognition Ying Zhao, Richard Schwartz, John Makhoul, and George Zavaliagkos
1069	Connectionist Models for Auditory Scene Analysis Richard O. Duda
1077	Computational Elements of the Adaptive Controller of the Human Arm Reza Shadmehr and Ferdinando A. Mussa-Ivaldi
1085	Tonal Music as a Componential Code: Learning Temporal Relationships between and within Pitch and Timing Components Catherine Stevens and Janet Wiles
1093	GDS: Gradient Descent Generation of Symbolic Classification Rules Reinhard Blasig
1101	Emergence of Global Structure from Local Associations Thea B. Ghiselli-Crippa and Paul W Munro
1109	Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations Tony A. Plate
1117	Analyzing Cross-Connected Networks Thomas R. Shultz and Jeffrey L. Elman

PART XI ADDENDA TO NIPS 5

1125	Encoding Labeled Graphs by Labeling RAAM Alessandro Sperduti
1135	Learning Mackey-Glass from 25 Examples, Plus or Minus 2 Mark Plutowski, Garrison Cottrell, and Halbert White
1143	Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network Yehuda Salu

PART XII WORKSHOPS

1151	Classification of Electroencephalogram Using Artificial Neural Networks A. C. Tsoi, D. S. C. So, and A. Sergejew
1161	Complexity Issues in Neural Computation and Learning V. P. Roychowdhury and K. - Y. Siu
1163	Connectionism for Music and Audition Andreas Weigend
1165	Memory-Based Methods for Regression and Classification Thomas G. Dietterich, Dietrich Wettschereck, Chris G. Atkeson, and Andrew W Moore
1167	Neurobiology, Psychophysics, and Computational Models of Visual Attention Ernst Niebur and Bruno A. Olshausen
1169	Robot Learning: Exploration and Continuous Domains David A. Cohn
1171	Stability and Observability Max Garzon and Fernanda Botelho
1173	What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop Mark A. Gluck
1176	Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented? Robert M. French
1178	Connectionist Modeling and Parallel Architectures Joachim Diederich and Ah Chung Tsoi
1180	Functional Models of Selective Attention and Context Dependency Thomas H. Hildebrandt
1182	Learning in Computer Vision and Image Understanding Hayit Greenspan
1184	Neural Network Methods for Optimization Problems Arun Jagota
1186	Processing of Visual and Auditory Space and Its Modification by Experience Josef P. Rauschecker and Terrence J. Sejnowski
1188	Putting It All Together: Methods for Combining Neural Networks Michael P. Perrone
1191	Author Index
1195	Keyword Index