0003	Learning the Structure of Similarity J. B. TENENBAUM
0010	A Model of Spatial Representations in Parietal Cortex Explains Hemineglect A. POUGET, T. J. SEJNOWSKI
0017	Human Reading and the Curse of Dimensionality G. L. MARTIN
0024	Extracting Tree-structured Representations of Trained Networks M. W. CRAVEN, J. W. SHAVLIK
0031	Harmony Networks Do Not Work R. GOURLEY
0038	Dynamics of Attention as Near Saddle-node Bifurcation Behavior H. NAKAHARA, K. DOYA
0045	Rapid Quality Estimation of Neural Network Input Representations K. J. CHERKAUER, J. W. SHAVLIK

PART II NEUROSCIENCE

0052	A Model of Auditory Streaming S. L. MCCABE, M. J. DENHAM
0061	Modeling Interactions of the Rat's Place and Head Direction Systems A. D. REDISH, D. S. TOURETZKY
0068	Correlated Neuronal Response: Time Scales and Mechanisms W. BAIR, E. ZOHARY, C. KOCH
0075	Information through a Spiking Neuron C. STEVENS, A. ZADOR
0082	Reorganization of Somatosensory Cortex after Tactile Training R. S. PETERSEN. J. G. TAYLOR
0089	A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex O. J. M. D. COENEN, T. J. SEJNOWSKI
0096	The Role of Activity in Synaptic Competition at the Neuromuscular Junction S. R. H. JOSEPH, D. J. WILLSHAW
0103	When Is an Integrate-and-fire Neuron like a Poisson Neuron? C. F. STEVENS, A. ZADOR
0110	How Perception Guides Production in Birdsong Learning C. L. FRY
0117	The Geometry of Eye Rotations and Listing's Law A. A. HANDZEL, T. FLASH
0124	Temporal Coding in the Submillisecond Range: Model of Barn Owl Auditory Pathway R. KEMPTER, W. GERSTNER, J. L. VAN HEMMEN, H. WAGNER
0131	Cholinergic Suppression of Transmission May Allow Combined Associative Memory Function and Self-organization in the Neocortex M. E. HASSELMO, M. CEKIC
0138	A Predictive Switching Model of Cerebellar Movement Control A. G. BARTO, J. T. BUCKINGHAM, J. C. HOUK
0145	Independent Component Analysis of Electroencephalographic Data S. MAKEIG, A. J. BELL, T. P. JUNG, T. J. SEJNOWSKI
0152	Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat H. T. BLAIR

PART III THEORY

0159	Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision S. YASUI, T. FURUKAWA, M. YAMADA, T. SAITO
0169	Learning Model Bias J. BAXTER
0176	Statistical Theory of Overtraining--Is Cross-Validation Asymptotically Effective? S. AMARI, N. MURATA, K. R. MULLER, M. FINKE, H. YANG
0183	A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split M. KEARNS
0190	Learning with Ensembles: How Overfitting Can Be Useful P. SOLLLCH, A. KROGH
0197	Neural Networks with Quadratic VC Dimension P. KOIRAN, E. D. SONTAG
0204	Sample Complexity for Learning Recurrent Perceptron Mappings B. DASGUPTA, E. D. SONTAG
0211	On the Computational Power of Noisy Spiking Neurons W. MAASS
0218	A Realizable Learning Task Which Exhibits Overfitting S. BOS
0225	Stable Dynamic Parameter Adaptation S. M. RUGER
0232	Estimating the Bayes Risk from Sample Data R. R. SNAPP, T. XU
0239	Recursive Estimation of Dynamic Modular RBF Networks V. KADIRKAMANATHAN, M. KADIRKAMANATHAN
0246	On Neural Networks with Minimal Weights V. BOHOSSIAN, J. BRUCK
0253	Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks A. C. C. COOLEN, S. N. LAUGHTON, D. SHERRINGTON
0260	Implementation Issues in the Fourier Transform Algorithm Y. MANSOUR, S. SAHAR
0267	Generalisation of a Class of Continuous Neural Networks J. SHAWE-TAYLOR, J. ZHAO
0274	Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks J. W. HOWSE, C. T. ABDALLAH, G. L. HEILEMAN
0281	Optimization Principles for the Neural Code M. DEWEESE
0288	Strong Unimodality and Exact Learning of Constant Depth μ-Perceptron Networks M. MARCHAND, S. HADJIFARADJI
0295	Active Learning in Multilayer Perceptrons K. FUKUMIZU
0302	Dynamics of On-line Gradient Descent Learning for Multilayer Neural Networks D. SAAD, S. A. SOLLA
0309	Worst-case Loss Bounds for Single Neurons D. P. HELMBOLD, J. KIVINEN, M. K. WARMUTH
0316	Exponentially Many Local Minima for Single Neurons P. AUER, M. HERBSTER, M. K. WARMUTH
0323	Adaptive Back-Propagation in On-line Learning of Multilayer Networks A. H. L. WEST, D. SAAD
0330	Optimizing Cortical Mappings G. J. GOODHILL, S. FINCH, T.J. SEJNOWSKI
0337	Quadratic-type Lyapunov Functions for Competitive Neural Networks with Different Time-scales A. MEYER-BASE
0344	Examples of Learning Curves from a Modified VC-formalism A. KOWALCZYK, J. SZYMANSKI, P. L. BARTLETT, R. C. WILLIAMSON
0351	Bayesian Methods for Mixtures of Experts S. WATERHOUSE, D. MACKAY, T. ROBINSON
0358	Some Results on Convergent Unlearning Algorithm S. A. SEMENOV, I. B. SHUVALOVA
0365	Geometry of Early Stopping in Linear Networks R. DODIER

PART IV ALGORITHMS AND ARCHITECTURES

0372	Absence of Cycles in Symmetric Neural Networks X. WANG, A. JAGOTA, E BOTELHO, M. GARZON
0381	Adaptive Mixture of Probabilistic Transducers Y. SINGER
0388	REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities--Application to Transition-based Connectionist Speech Recognition Y. KONIG, H. BOURLARD, N. MORGAN
0395	Recurrent Neural Networks for Missing or Asynchronous Data Y. BENGIO, F. GINGRAS
0402	Family Discovery S. M. OMOHUNDRO
0409	Discriminant Adaptive Nearest Neighbor Classification and Regression T. HASTIE, R. TIBSHIRANI
0416	Clustering Data through an Analogy to the Potts Model M. BLATT, S. WISEMAN, E. DOMANY
0423	Generalized Learning Vector Quantization A. SATO, K. YAMADA
0430	Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms A. JUELS, M. WATTENBERG
0437	Symplectic Nonlinear Component Analysis L. C. PARRA
0444	A Unified Learning Scheme: Bayesian-Kuilback Ying-Yang Machine L. XU
0451	Universal Approximation and Learning of Trajectories Using Oscillators P. BALDI, K. HORNIK
0458	A Smoothing Regularizer for Recurrent Neural Networks L. WU, J. MOODY
0465	EM Optimization of Latent-Variable Density Models C. M. BISHOP, M. SVENSEN, C. K. I. WILLIAMS
0472	Factorial Hidden Markov Models Z. GHAHRAMANI, M. I. JORDAN
0479	Boosting Decision Trees H. DRUCKER, C. CORTES
0486	Exploiting Tractable Substructures in Intractable Networks L. K. SAUL. M. I. JORDAN
0493	Hierarchical Recurrent Neural Networks for Long-term Dependencies S. E. HIHI, Y. BENGIO
0500	Discovering Structure in Continuous Variables Using Bayesian Networks R. HOFMANN, V. TRESP
0507	Using Pairs of Data Points to Define Splits for Decision Trees G. E. HINTON, M. REVOW
0514	Gaussian Processes for Regression C. K. I. WILLIAMS, C. E. RASMUSSEN
0521	Pruning with Generalization Based Weight Saliencies: λOBD, λOBS M. W. PEDERSEN. L. K. HANSEN, J. LARSEN
0528	Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks T. JAAKKOLA, L. K. SAUL. M., I. JORDAN
0535	Generating Accurate and Diverse Members of a Neural-network Ensemble D. W. OPITZ, J. W. SHAVLIK
0542	Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging D. ORMONEIT, V. TRESP
0549	Explorations with the Dynamic Wave Model T. P. REBOTIER, J. L. ELMAN
0556	The Capacity of a Bump G. W. FLAKE
0563	Tempering Backpropagation Networks: Not All Weights Are Created Equal N. N. SCHRAUDOLPH, T. J. SEJNOWSKI
0570	Investment Learning with Hierarchical PSOM5 J. WALTER, H. RITTER
0577	Learning Long-term Dependencies Is Not as Difficult with NARX Networks T. LIN, B. G. HORNE, P. TINO, C. L. GILES
0584	Constructive Algorithms for Hierarchical Mixtures of Experts S. R. WATERHOUSE, A. J. ROBINSON
0591	An Information-theoretic Learning Algorithm for Neural Network Classification D. MILLER, A. RAO, K. ROSE, A. GERSHO
0598	A Practical Monte Carlo Implementation of Bayesian Learning C. E. RASMUSSEN
0605	From Isolation to Cooperation: An Alternative View of a System of Experts S. SCHAAL, C. C. ATKESON
0612	Finite State Automata that Recurrent Cascade-Correlation Cannot Represent S. C. KREMER
0619	SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training J. WAWRZYNEK. K. ASANOVIC, B. KINGSBURY, J. BECK, D. JOHNSON, N. MORGAN
0626	Softassign versus Softmax: Benchmarks in Combinatorial Optimization S. GOLD, A. RANGARAJAN
0633	A Multiscale Attentional Framework for Relaxation Neural Networks D. I. TSIOUTSIAS, E. MJOLSNESS
0640	Is Learning the n-th Thing Any Easier Than Learning the First? S. THRUN
0647	Using Unlabeled Data for Supervised Learning G. TOWELL
0654	Learning Sparse Perceptrons J. C. JACKSON, M. W. CRAVEN

PART V IMPLEMENTATIONS

0661	Does the Wake-sleep Algorithm Produce Good Density Estimators? B. J. FREY, G. E. HINTON, P. DAYAN
0671	Improved Silicon Cochlea Using Compatible Lateral Bipolar Transistors A. VAN SCHAIK, E. FRAGNIERE, E. VITTOZ
0678	Adaptive Retina with Center-Surround Receptive Field S. C. LIU. K. BOAHEN
0685	Neuron-MOS Temporal Winner Search Hardware for Fully-parallel Data Processing T. SHIBATA, T. NAKAI, T. MORIMOTO. R. KAIHARA, T. YAMASHITA, T. OHMI
0692	Analog VLSI Processor Implementing the Continuous Wavelet Transform R. T. EDWARDS. G. CAUWENBERGHS
0699	Silicon Models for Auditory Scene Analysis J. LAZZARO, J. WAWRZYNEK
0706	VLSI Model of Primate Visual Smooth Pursuit R. ETIENNE-CUMMINGS, J. VAN DER SPIEGEL, P. MUELLER
0713	Model Matching and SFMD Computation S. REHFUSS, D. HAMMERSTROM

PART VI SPEECH AND SIGNAL PROCESSING

0720	Parallel Analog VLSI Architectures for Computation of Heading Direction and Time-to-contact G. INDIVERI, J. KRAMER, C. KOCH
0729	Onset-based Sound Segmentation L. S. SMITH
0736	Laterally Interconnected Self-organizing Maps in Handwritten Digit Recognition Y. CHOE, J. SIROSH, R. MIIKKULAINEN
0743	Forward-backward Retraining of Recurrent Neural Networks A. SENIOR, T. ROBINSON
0750	Context-dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System D. KERSHAW, T. ROBINSON, M. HOCHBERG
0757	A New Learning Algorithm for Blind Signal Separation S. AMARI, A. CICHOCKI, H. H. YANG
0764	Handwritten Word Recognition Using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models B. LEMARIE, M. GILLOUX, M. LEROUX
0771	Selective Attention for Handwritten Digit Recognition E. ALPAYDIN
0778	KODAK IMAGELINK TM OCR Alphanumeric Handprint Module A. SHUSTOROVICH, C. W. THRASHER

PART VII VISION

0785	The Gamma MLP for Speech Phoneme Recognition S. LAWRENCE, A. C. TSOI, A. D. BACK
0795	A Framework for Nonrigid Matching and Correspondence S. PAPPU, S. GOLD, A. RANGARAJAN
0802	Control of Selective Visual Attention: Modeling the "Where" Pathway E. NIEBUR, C. KOCH
0809	Unsupervised Pixel-prediction W. R. SOFTKY
0816	Learning to Predict Visibility and Invisibility from Occlusion Events J. A. MARSHALL, R. K. ALLEY, R. S. HUBBARD
0823	Classifying Facial Action M. S. BARTLETT, P. A. VIOLA, T. J. SEJNOWSKI, B. A. GOLOMB, J. LARSEN, C. HAGER, P. EKMAN
0830	Modeling Saccadic Targeting in Visual Search R. P. N. RAO, G. J. ZELINSKY, M. M. HAYHOE, D. H. BALLARD
0837	A Model of Transparent Motion and Non-transparent Motion Aftereffects A. GRUNEWALD
0844	A Neural Network Model of 3-D Lightness Perception L. PESSOA, W. D. ROSS
0851	Empirical Entropy Manipulation for Real-world Problems P. VIOLA, N. N. SCHRAUDOLPH, T. J. SEJNOWSKI
0858	Active Gesture Recognition Using Learned Visual Attention T. DARRELL, A. PENTLAND

PART VIII APPLICATIONS

0865	SEEMORE: A View-based Approach to 3-D Object Recognition Using Multiple Visual Cues B. W. MEL
0875	Human Face Detection in Visual Scenes H. A. ROWLEY, S. BALUJA, T. KANADE
0882	Improving Committee Diagnosis with Resampling Techniques B. PARMANTO, P. W. MUNRO, H. R. DOYLE
0889	Primitive Manipulation Learning with Connectionism Y. MATSUOKA
0896	Beating a Defender in Robotic Soccer: Memory-based Learning of a Continuous Function P. STONE, M. VELOSO
0903	Visual Gesture-based Robot Guidance with a Modular Neural System E. LITTMANN, A. DREES, H. RITTER
0910	A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network M. A. JABRI, R. J. WANG
0917	Prediction of Beta Sheets in Proteins A. KROGH, S. K. RIIS
0924	A Neural Network Autoassociator for Induction Motor Failure Prediction T. PETSCHE, A. MARCANTONIO, C. DARKEN, S. J. HANSON, G. M. KUHN, I. SANTOSO
0931	Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence S. MAKEIG, T. P. JUNG, T. J. SEJNOWSKI
0938	A Neural Network Classifier for the 11000 OCR Chip J. C. PLATT, T. P. ALLEN
0945	Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control S. P. M. CHOI, D. YEUNG
0952	Optimal Asset Allocation Using Adaptive Dynamic Programming R. NEUNEIER
0959	Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation R. CARUANA, S. BALUJA, T. MITCHELL
0966	Stock Selection via Nonlinear Multi-factor Models A. U. LEVIN
0973	Experiments with Neural Networks for Real Time Implementation of Control P. CAMPBELL, M. DALE, H. L. FERRA, A. KOWALCZYK

PART IX CONTROL

0980	High-speed Airborne Particle Monitoring Using Artificial Neural Networks A. FERGUSON, T. SABISCH, P. KAYE, L. C. DIXON, H. BOLOURI
0989	A Dynamical Systems Approach for a Learnable Autonomous Robot J. TANI, N. FUKUMURA
0996	Parallel Optimization of Motion Controllers via Policy Iteration J. A. COELHO JR., R. SITARAMAN, R. A. GRUPEN
1003	Learning Fine Motion by Markov Mixtures of Experts M. MEILA, M. I. JORDAN
1010	Neural Control for Nonlinear Dynamic Systems S. YU, A. M. ANNASWAMY
1017	Improving Elevator Performance Using Reinforcement Learning R. H. CRITES. A. G. BARTO
1024	High-performance Job-Shop Scheduling with a Time-delay TD(λ) Network W. ZHANG, 1. G. DIETTERICH
1031	Competence Acquisition in an Autonomous Mobile Robot Using Hardware Neural Techniques G. JACKSON, A. F. MURRAY
1038	Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding R. S. SUTTON
1045	Stable Linear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions B. V. ROY, J. N. TSITSIKLIS
1052	Stable Fitted Reinforcement Learning G. J. GORDON
1059	Improving Policies without Measuring Merits P. DAYAN, S. P. SINGH
1066	Memory-based Stochastic Optimization A. W. MOORE, J. SCHNEIDER
1073	Temporal Difference in Learning in Continuous Time and Space K. DOYA
1080	Reinforcement Learning by Probability Matching P. N. SABES, M. I. JORDAN
1087	Author Index
1091	Keyword Index