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NIPS*1993
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| Title Pages [ps][pdf][djvu] Autoencoders, Minimum Description Length, and Helmholtz Free Energy Geoffrey E. Hinton and Richard S. Zemel [ps][pdf][djvu] Developing Population Codes by Minimizing Description Length Richard S. Zemel and Geoffrey E. Hinton [ps][pdf][djvu] A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction Sreerupa Das and Michael C. Mozer [ps][pdf][djvu] Unsupervised Learning of Mixtures of Multiple Causes in Binary Data Eric Saund [ps][pdf][djvu] Fast Pruning Using Principal Components Asriel U Levin, Todd K. Leen, and John E. Moody [ps][pdf][djvu] Surface Learning with Applications to Lipreading Christoph Bregler and Stephen M. Omohundro [ps][pdf][djvu] When Will a Genetic Algorithm Outperform Hill Climbing? Melanie Mitchell, John H. Holland, and Stephanie Forrest [ps][pdf][djvu] Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation Oded Maron and Andrew W. Moore [ps][pdf][djvu] Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network Bill Baird, Todd Troyer, and Frank Eeckman [ps][pdf][djvu] Credit Assignment through Time: Alternatives to Backpropagation Yoshua Bengio and Paolo Frasconi [ps][pdf][djvu] A Local Algorithm to Learn Trajectories with Stochastic Neural Networks Javier R. Movellan [ps][pdf][djvu] Structural and Behavioral Evolution of Recurrent Networks Gregory M. Saunders, Peter J. Angeline, and Jordan B. Pollack [ps][pdf][djvu] Clustering with a Domain-Specific Distance Measure Steven Gold, Eric Mjolsness, and Anand Rangarajan [ps][pdf][djvu] Central and Pairwise Data Clustering by Competitive Neural Networks Joachim Buhmann and Thomas Hofmann [ps][pdf][djvu] Learning Classification with Unlabeled Data Virginia R. de Sa [ps][pdf][djvu] Supervised Learning from Incomplete Data via an EM Approach Zoubin Ghahramani and Michael I. Jordan [ps][pdf][djvu] Training Neural Networks with Deficient Data Volker Tresp, Subutai Ahmad, and Ralph Neuneier [ps][pdf][djvu] Unsupervised Parallel Feature Extraction from First Principles Mats Osterberg and Reiner Lenz [ps][pdf][djvu] Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples Terence D. Sanger [ps][pdf][djvu] Fast Non-Linear Dimension Reduction Nanda Kambhatla and Todd K. Leen [ps][pdf][djvu] Assessing the Quality of Learned Local Models Stefan Schall and Christopher G. Atkeson [ps][pdf][djvu] Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering Patrice Y Simard [ps][pdf][djvu] The Power of Amnesia Dana Ron, Yoram Singer, and Naftali Tishby [ps][pdf][djvu] Locally Adaptive Nearest Neighbor Algorithms Dietrich Wettschereck and Thomas G. Dietterich [ps][pdf][djvu] Robust Parameter Estimation and Model Selection for Neural Network Regression Yong Liu [ps][pdf][djvu] Bayesian Backpropagation over I-O Functions Rather Than Weights David H. Wolpert [ps][pdf][djvu] Bayesian Backprop in Action: Pruning, Committees, Error Bars, and an Application to Spectroscopy Hans Henrik Thodberg [ps][pdf][djvu] 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 [ps][pdf][djvu] Combined Neural Networks for Time Series Analysis Iris Ginzburg and David Horn [ps][pdf][djvu] Backpropagation without Multiplication Patrice Y. Simard and Hans Peter Graf [ps][pdf][djvu] 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 [ps][pdf][djvu] Adaptive Knot Placement for Nonparametric Regression Hossein L. Najafi and Vladimir Cherkassky [ps][pdf][djvu] Supervised Learning with Growing Cell Structures Bernd Fritzke [ps][pdf][djvu] Optimal Brain Surgeon: Extensions and Performance Comparisons Babak Hassibi, David G. Stork, Gregory Wolff, and Takahiro Watanabe [ps][pdf][djvu] Generation of Internal Representation by α-Transformation Ryotaro Kamimura [ps][pdf][djvu] Constructive Learning Using Internal Representation Conflicts Laurens R. Leerink and Marwan A. Jabri [ps][pdf][djvu] Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data Joachim Utans [ps][pdf][djvu] An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion Sumio Watanabe [ps][pdf][djvu] Optimal Stopping and Effective Machine Complexity in Learning Changfeng Wang, Santosh S. Venkatesh, and J. Stephen Judd [ps][pdf][djvu] Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass [ps][pdf][djvu] How to Choose an Activation Function H. N. Mhaskar and C. A. Micchelli [ps][pdf][djvu] Learning Curves: Asymptotic Values and Rate of Convergence Corinna Cortes, L. D. Jackel, Sara A. Solla, Vladimir Vapnik, and John S. Denker [ps][pdf][djvu] Recovering a Feed-Forward Net from Its Output Charles Fefferman and Scott Markel [ps][pdf][djvu] Use of Bad Training Data for Better Predictions Tal Grossman and Alan Lapedes [ps][pdf][djvu] H∞ Optimality Criteria for LMS and Backpropagation Babak Hassibi, Ali H. Sayed, and Thomas Kailath [ps][pdf][djvu] Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines Bill G. Home and Don R. Hush [ps][pdf][djvu] Generalization Error and the Expected Network Complexity Chuanyi Ji [ps][pdf][djvu] Counting Function Theorem for Multi-Layer Networks Adam Kowalczyk [ps][pdf][djvu] Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization O. L. Mangasarian and M. V. Solodov [ps][pdf][djvu] Cross-Validation Estimates IMSE Mark Plutowski, Shinichi Sakata, and Halbert White [ps][pdf][djvu] Discontinuous Generalization in Large Committee Machines H. Schwarze and J. Hertz [ps][pdf][djvu] Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks Jonathan L. Shapiro and Adam Prugelo-Bennett [ps][pdf][djvu] Structured Machine Learning for Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, and Barbara Klein [ps][pdf][djvu] Solvable Models of Artificial Neural Networks Sumio Watanabe [ps][pdf][djvu] On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks Herbert Wiklicky [ps][pdf][djvu] The Statistical Mechanics of k-Satisfaction Scott Kirkpatrick, Geza Gyorgyi, Naftali Tishby, and Lidror Troyansky [ps][pdf][djvu] Coupled Dynamics of Fast Neurons and Slow Interactions A.C.C. Coolen, R. W. Penney, and D. Sherrington [ps][pdf][djvu] Observability of Neural Network Behavior Max Garzon and Fernanda Botelho [ps][pdf][djvu] How to Describe Neuronal Activity: Spikes, Rates, or Assemblies Wulfram Gerstner and J. Leo van Hemmen [ps][pdf][djvu] Correlation Functions in a Large Stochastic Neural Network Iris Ginzburg and Haim Sompolinsky [ps][pdf][djvu] Optimal Stochastic Search and Adaptive Momentum Todd K. Leen and Genevieve B. Orr [ps][pdf][djvu] Optimal Signalling in Attractor Neural Networks Isaac Meilijson and Eytan Ruppin [ps][pdf][djvu] Asynchronous Dynamics of Continuous Time Neural Networks Xin Wang, Qingnan Li, and Edward K. Blum [ps][pdf][djvu] Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics John F. Kolen [ps][pdf][djvu] Dynamic Modulation of Neurons and Networks Eve Marder [ps][pdf][djvu] Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells Ojvind Bernander, Christof Koch, and Rodney J. Douglas [ps][pdf][djvu] 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 [ps][pdf][djvu] Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons Mitchell Gil Maltenfort, Robert E. Druzinsky, C. J. Heckman, and W. Zev Rymer [ps][pdf][djvu] Development of Orientation and Ocular Dominance Columns in Infant Macaques Klaus Obermayer, Lynne Kiorpes, and Gary G. Blasdel [ps][pdf][djvu] Statistics of Natural Images: Scaling in the Woods Daniel L. Ruderman and William Bialek [ps][pdf][djvu] Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina Eric Boussard and Jean-Francois Vibert [ps][pdf][djvu] A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillation Kenji Doya, Allen I. Selverston, and Peter F. Rowat [ps][pdf][djvu] Directional Hearing by the Mauthner System Audrey L. Guzik and Robert C. Eaton [ps][pdf][djvu] An Analog VLSI Saccadic Eye Movement System Timothy K. Horiuchi, Brooks Bishofberger, and Christof Koch [ps][pdf][djvu] Bayesian Modeling and Classification of Neural Signals Michael S. Lewicki [ps][pdf][djvu] Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Read Montague, Peter Dayan, and Terrence J. Sejnowski [ps][pdf][djvu] A Connectionist Model of the Owl's Sound Localization System Daniel J. Rosen, David E. Rumelhart, and Eric I. Knudsen [ps][pdf][djvu] Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements Terence D. Sanger [ps][pdf][djvu] An Analog VLSI Model of Central Pattern Generation in the Leech Micah S. Siegel [ps][pdf][djvu] Synchronization, Oscillations, and l/f Noise in Networks of Spiking Neurons Martin Stemmler, Marius Usher, Christof Koch, and Zeev Olami [ps][pdf][djvu] Transition Point Dynamic Programming Kenneth M. 0Buckland and Peter D. Lawrence [ps][pdf][djvu] Exploiting Chaos to Control the Future Gary W. Flake, Guo-Zhen Sun, Yee-Chun Lee, and Hsing-Hen Chen [ps][pdf][djvu] Robust Reinforcement Learning in Motion Planning Satinder P. Singh, Andrew G. Barto, Roderic Grupen, and Christopher Connolly [ps][pdf][djvu] Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming Christopher G. Atkeson [ps][pdf][djvu] Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach Justin A. Boyan and Michael L. Littman [ps][pdf][djvu] Neural Network Exploration Using Optimal Experiment Design David A. Cohn [ps][pdf][djvu] Monte Carlo Matrix Inversion and Reinforcement Learning Andrew Barto and Michael Duff [ps][pdf][djvu] Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms Vijaykumar Gullapalli and Andrew G. Barto [ps][pdf][djvu] Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi Jaakkola, Michael I. Jordan, and Satinder P Singh [ps][pdf][djvu] The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces Andrew W. Moore [ps][pdf][djvu] Mixtures of Controllers for Jump Linear and Non-Linear Plants Timothy W. Cacciatore and Steven J. Nowlan [ps][pdf][djvu] A Computational Model for Cursive Handwriting Based on the Minimization Principle Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, and Mitsuo Kawato [ps][pdf][djvu] Signature Verification Using a Jane Bromley, Isabelle Guyon, Yann Le Cun, Eduard Sackinger, and Roopak Shah [ps][pdf][djvu] Postal Address Block Location Using a Convolutional Locator Network Ralph Wolf and John C. Platt [ps][pdf][djvu] Non-Intrusive Gaze Tracking Using Artificial Neural Networks Shumeet Baluja and Dean Pomerleau [ps][pdf][djvu] Hidden Markov Models for Human Genes Pierre Baldi, Soren Brunak, Yves Chauvin, Jacob Engelbrecht, and Anders Krogh [ps][pdf][djvu] Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina Joachim M. Buhmann, Martin Lades, and Frank Eeckman [ps][pdf][djvu] Recognition-Based Segmentation of On-Line Cursive Handwriting Nicholas S. Flann [ps][pdf][djvu] Address Block Location with a Neural Net System Hans Peter Graf and Eric Cosatto [ps][pdf][djvu] Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study N. Karunanithi [ps][pdf][djvu] Comparison Training for a Rescheduling Problem in Neural Networks Didier Keymeulen and Martine de Gerlache [ps][pdf][djvu] Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes Alan Lapedes, Evan Steeg, and Robert Farber [ps][pdf][djvu] Temporal Difference Learning of Position Evaluation in the Game of Go Nico N. Schraudolph, Peter Dayan, and Terrence J. Sejnowski [ps][pdf][djvu] Probabilistic Anomaly Detection in Dynamic Systems Padhraic Smyth [ps][pdf][djvu] Decoding Cursive Scripts Yoram Singer and Naftali Tishby [ps][pdf][djvu] A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications Michael A. Glover and W. Thomas Miller III [ps][pdf][djvu] A Hybrid Radial Basis Function Neurocomputer and Its Applications Steven S. Watkins, Paul M. Chau, Raoul Tawel, Bjorn Lambrigsten, and Mark Plutowski [ps][pdf][djvu] A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics Gert Cauwenberghs [ps][pdf][djvu] VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems Andreas G. Andreou and Thomas G. Edwards [ps][pdf][djvu] WATTLE: A Trainable Gain Analogue VLSI Neural Network Richard Coggins and Marwan Jabri [ps][pdf][djvu] The I. M. Elfadel and J. L. Wyatt, Jr. [ps][pdf][djvu] High Performance Neural Net Simulation on a Multiprocessor System with Urs A. Muller, Michael Kocheisen, and Anton Gunzinger [ps][pdf][djvu] 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 [ps][pdf][djvu] Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture Ernst Niebur and Dean Brettle [ps][pdf][djvu] Learning Complex Boolean Functions: Algorithms and Applications Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli [ps][pdf][djvu] Implementing Intelligence on Silicon Using Neuron-Like Functional MOS Transistors Tadashi Shibata, Koji Kotani, Takeo Yamashita, Hiroshi Ishii, Hideo Kosaka, and Tadahiro Ohmi [ps][pdf][djvu] Event-Driven Simulation of Networks of Spiking Neurons Lloyd Watts [ps][pdf][djvu] Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models Yoshua Bengio, Yann Le Cun, and Donnie Henderson [ps][pdf][djvu] Classifying Hand Gestures with a View-Based Distributed Representation Trevor J. Darrell and Alex P Pentland [ps][pdf][djvu] A Network Mechanism for the Determination of Shape-from-Texture Ko Sakai and Leif H. Finkel [ps][pdf][djvu] Feature Densities Are Required for Computing Feature Correspondences Subutai Ahmad [ps][pdf][djvu] The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields G. T. Buracas and T. D. Albright [ps][pdf][djvu] Resolving Motion Ambiguities K. I. Diamantaras and D. Geiger [ps][pdf][djvu] Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching Chien-Ping Lu and Eric Mjolsness [ps][pdf][djvu] Dual Mechanisms for Neural Binding and Segmentation Paul Sajda and Leif H. Finkel [ps][pdf][djvu] Bayesian Self-Organization Alan L. Yuille, Stelios M. Smirnakis, and Lei Xu [ps][pdf][djvu] Analysis of Short Term Memories for Neural Networks Jose C. Principe, Hui-H. Hsu, and Jyh-Ming Kuo [ps][pdf][djvu] Figure of Merit Training for Detection and Spotting Eric I. Chang and Richard P Lippmann [ps][pdf][djvu] Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration Gregory J. Wolff K. Venkatesh Prasad, David G. Stork, and Marcus Hennecke [ps][pdf][djvu] Speaker Recognition Using Neural Tree Networks Kevin R. Farrell and Richard J. Mammone [ps][pdf][djvu] Inverse Dynamics of Speech Motor Control Makoto Hirayama, Eric Vatikiotis-Bateson, and Mitsuo Kawato [ps][pdf][djvu] Learning Temporal Dependencies in Connectionist Speech Recognition Steve Renals, Mike Hochberg, and Tony Robinson [ps][pdf][djvu] Segmental Neural Net Optimization for Continuous Speech Recognition Ying Zhao, Richard Schwartz, John Makhoul, and George Zavaliagkos [ps][pdf][djvu] Connectionist Models for Auditory Scene Analysis Richard O. Duda [ps][pdf][djvu] Computational Elements of the Adaptive Controller of the Human Arm Reza Shadmehr and Ferdinando A. Mussa-Ivaldi [ps][pdf][djvu] Tonal Music as a Componential Code: Learning Temporal Relationships between and within Pitch and Timing Components Catherine Stevens and Janet Wiles [ps][pdf][djvu] GDS: Gradient Descent Generation of Symbolic Classification Rules Reinhard Blasig [ps][pdf][djvu] Emergence of Global Structure from Local Associations Thea B. Ghiselli-Crippa and Paul W Munro [ps][pdf][djvu] Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations Tony A. Plate [ps][pdf][djvu] Analyzing Cross-Connected Networks Thomas R. Shultz and Jeffrey L. Elman [ps][pdf][djvu] Encoding Labeled Graphs by Labeling RAAM Alessandro Sperduti [ps][pdf][djvu] Learning Mackey-Glass from 25 Examples, Plus or Minus 2 Mark Plutowski, Garrison Cottrell, and Halbert White [ps][pdf][djvu] Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network Yehuda Salu [ps][pdf][djvu] Classification of Electroencephalogram Using Artificial Neural Networks A. C. Tsoi, D. S. C. So, and A. Sergejew [ps][pdf][djvu] Complexity Issues in Neural Computation and Learning V. P. Roychowdhury and K. - Y. Siu [ps][pdf][djvu] Connectionism for Music and Audition Andreas Weigend [ps][pdf][djvu] Memory-Based Methods for Regression and Classification Thomas G. Dietterich, Dietrich Wettschereck, Chris G. Atkeson, and Andrew W Moore [ps][pdf][djvu] Neurobiology, Psychophysics, and Computational Models of Visual Attention Ernst Niebur and Bruno A. Olshausen [ps][pdf][djvu] Robot Learning: Exploration and Continuous Domains David A. Cohn [ps][pdf][djvu] Stability and Observability Max Garzon and Fernanda Botelho [ps][pdf][djvu] What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop Mark A. Gluck [ps][pdf][djvu] Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented? Robert M. French [ps][pdf][djvu] Connectionist Modeling and Parallel Architectures Joachim Diederich and Ah Chung Tsoi [ps][pdf][djvu] Functional Models of Selective Attention and Context Dependency Thomas H. Hildebrandt [ps][pdf][djvu] Learning in Computer Vision and Image Understanding Hayit Greenspan [ps][pdf][djvu] Neural Network Methods for Optimization Problems Arun Jagota [ps][pdf][djvu] Processing of Visual and Auditory Space and Its Modification by Experience Josef P. Rauschecker and Terrence J. Sejnowski [ps][pdf][djvu] Putting It All Together: Methods for Combining Neural Networks Michael P. Perrone [ps][pdf][djvu] Author Index [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] |