NeurIPS 1993

158 papers

A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron Richard T. J. Bostock, Alan J. Harget

A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction Thomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, Tomás Lozano-Pérez

A Computational Model for Cursive Handwriting Based on the Minimization Principle Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, Mitsuo Kawato

A Connectionist Model of the Owl's Sound Localization System Daniel J. Rosen, David E. Rumelhart, Eric I. Knudsen

A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillation Kenji Doya, Allen I. Selverston, Peter F. Rowat

A Hybrid Radial Basis Function Neurocomputer and Its Applications Steven S. Watkins, Paul M. Chau, Raoul Tawel, Bjorn Lambrigtsen, Mark Plutowski

A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics Gert Cauwenberghs

A Local Algorithm to Learn Trajectories with Stochastic Neural Networks Javier R. Movellan

A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications Michael A. Glover, W. Thomas Miller Iii

A Network Mechanism for the Determination of Shape-from-Texture Kô Sakai, Leif H. Finkel

A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction Sreerupa Das, Michael Mozer

Adaptive Knot Placement for Nonparametric Regression Hossein L. Najafi, Vladimir Cherkassky

Address Block Location with a Neural Net System Hans Peter Graf, Eric Cosatto

Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass

Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells Öjvind Bernander, Christof Koch, Rodney J. Douglas

An Analog VLSI Model of Central Pattern Generation in the Leech Micah S. Siegel

An Analog VLSI Saccadic Eye Movement System Timothy K. Horiuchi, Brooks Bishofberger, Christof Koch

An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion Sumio Watanabe

Analysis of Short Term Memories for Neural Networks Jose C. Principe, Hui-H. Hsu, Jyh-Ming Kuo

Analyzing Cross-Connected Networks Thomas R. Shultz, Jeffrey L. Elman

Assessing the Quality of Learned Local Models Stefan Schaal, Christopher G. Atkeson

Asynchronous Dynamics of Continuous Time Neural Networks Xin Wang, Qingnan Li, Edward K. Blum

Autoencoders, Minimum Description Length and Helmholtz Free Energy Geoffrey E. Hinton, Richard S. Zemel

Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization O. L. Mangasarian, M. V. Solodov

Backpropagation Without Multiplication Patrice Y. Simard, Hans Peter Graf

Bayesian Backprop in Action: Pruning, Committees, Error Bars and an Application to Spectroscopy Hans Henrik Thodberg

Bayesian Backpropagation over I-O Functions Rather than Weights David H. Wolpert

Bayesian Modeling and Classification of Neural Signals Michael S. Lewicki

Bayesian Self-Organization Alan L. Yuille, Stelios M. Smirnakis, Lei Xu

Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines Bill G. Horne, Don R. Hush

Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented? Robert M. French

Central and Pairwise Data Clustering by Competitive Neural Networks Joachim Buhmann, Thomas Hofmann

Classification of Electroencephalogram Using Artificial Neural Networks A C Tsoi, D S C So, A Sergejew

Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network Yehuda Salu

Classifying Hand Gestures with a View-Based Distributed Representation Trevor J. Darrell, Alex P. Pentland

Clustering with a Domain-Specific Distance Measure Steven Gold, Eric Mjolsness, Anand Rangarajan

Combined Neural Networks for Time Series Analysis Iris Ginzburg, David Horn

Comparison Training for a Rescheduling Problem in Neural Networks Didier Keymeulen, Martine de Gerlache

Complexity Issues in Neural Computation and Learning V. P. Roychowdhury, K.-Y. Siu

Computational Elements of the Adaptive Controller of the Human Arm Reza Shadmehr, Ferdinando A. Mussa-Ivaldi

Connectionism for Music and Audition Andreas S. Weigend

Connectionist Modeling and Parallel Architectures Joachim Diederich, Ah Chung Tsoi

Connectionist Models for Auditory Scene Analysis Richard O. Duda

Constructive Learning Using Internal Representation Conflicts Laurens R. Leerink, Marwan A. Jabri

Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms Vijaykumar Gullapalli, Andrew G. Barto

Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi Jaakkola, Michael I. Jordan, Satinder P. Singh

Correlation Functions in a Large Stochastic Neural Network Iris Ginzburg, Haim Sompolinsky

Counting Function Theorem for Multi-Layer Networks Adam Kowalczyk

Coupled Dynamics of Fast Neurons and Slow Interactions A.C.C. Coolen, R. W. Penney, D. Sherrington

Credit Assignment Through Time: Alternatives to Backpropagation Yoshua Bengio, Paolo Frasconi

Cross-Validation Estimates IMSE Mark Plutowski, Shinichi Sakata, Halbert White

Decoding Cursive Scripts Yoram Singer, Naftali Tishby

Developing Population Codes by Minimizing Description Length Richard S. Zemel, Geoffrey E. Hinton

Development of Orientation and Ocular Dominance Columns in Infant Macaques Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel

Digital Boltzmann VLSI for Constraint Satisfaction and Learning Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burg, Gregory J. Wolff, Tokahiro Watanabe, Edward Schwartz, David G. Stork, Allen M. Peterson

Directional Hearing by the Mauthner System Audrey L. Guzik, Robert C. Eaton

Discontinuous Generalization in Large Committee Machines H. Schwarze, J. Hertz

Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina Eric Boussard, Jean-François Vibert

Dual Mechanisms for Neural Binding and Segmentation Paul Sajda, Leif H. Finkel

Dynamic Modulation of Neurons and Networks Eve Marder

Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering Patrice Y. Simard

Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture Ernst Niebur, Dean Brettle

Emergence of Global Structure from Local Associations Thea B. Ghiselli-Crippa, Paul W. Munro

Encoding Labeled Graphs by Labeling RAAM Alessandro Sperduti

Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations Tony A. Plate

Event-Driven Simulation of Networks of Spiking Neurons Lloyd Watts

Exploiting Chaos to Control the Future Gary W. Flake, Guo-Zhen Sun, Yee-Chun Lee

Fast Non-Linear Dimension Reduction Nanda Kambhatla, Todd K. Leen

Fast Pruning Using Principal Components Asriel U. Levin, Todd K. Leen, John E. Moody

Feature Densities Are Required for Computing Feature Correspondences Subutai Ahmad

Figure of Merit Training for Detection and Spotting Eric I. Chang, Richard P Lippmann

Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics John F. Kolen

Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Read Montague, Peter Dayan, Terrence J. Sejnowski

Functional Models of Selective Attention and Context Dependency Thomas H. Hildebrandt

GDS: Gradient Descent Generation of Symbolic Classification Rules Reinhard Blasig

Generalization Error and the Expected Network Complexity Chuanyi Ji

Generation of Internal Representation by Α-Transformation Ryotaro Kamimura

Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models Yoshua Bengio, Yann LeCun, Donnie Henderson

Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network Bill Baird, Todd Troyer, Frank Eeckman

Hidden Markov Models for Human Genes Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh

High Performance Neural Net Simulation on a Multiprocessor System with "Intelligent" Communication Urs A. Müller, Michael Kocheisen, Anton Gunzinger

Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation Oded Maron, Andrew W. Moore

Hoo Optimality Criteria for LMS and Backpropagation Babak Hassibi, Ali H. Sayed, Thomas Kailath

How to Choose an Activation Function H. N. Mhaskar, C. A.. Micchelli

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? Wulfram Gerstner, J. Leo van Hemmen

Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study N. Karunanithi

Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina Joachim M. Buhmann, Martin Lades, Frank Eeckman

Implementing Intelligence on Silicon Using Neuron-like Functional MOS Transistors Tadashi Shibata, Koji Kotani, Takeo Yamashita, Hiroshi Ishii, Hideo Kosaka, Tadahiro Ohmi

Inverse Dynamics of Speech Motor Control Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato

Learning Classification with Unlabeled Data Virginia R. de Sa

Learning Complex Boolean Functions: Algorithms and Applications Arlindo L. Oliveira, Alberto Sangiovanni-Vincentelli

Learning Curves: Asymptotic Values and Rate of Convergence Corinna Cortes, L. D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker

Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data Joachim Utans

Learning in Computer Vision and Image Understanding Hayit Greenspan

Learning Mackey-Glass from 25 Examples, Plus or Minus 2 Mark Plutowski, Garrison Cottrell, Halbert White

Learning Temporal Dependencies in Connectionist Speech Recognition Steve Renals, Mike Hochberg, Tony Robinson

Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration Gregory J. Wolff, K. Venkatesh Prasad, David G. Stork, Marcus Hennecke

Locally Adaptive Nearest Neighbor Algorithms Dietrich Wettschereck, Thomas G. Dietterich

Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons Mitchell Gil Maltenfort, Robert E. Druzinsky, C. J. Heckman, W. Zev Rymer

Memory-Based Methods for Regression and Classification Thomas G. Dietterich, Dietrich Wettschereck, Chris G. Atkeson, Andrew W. Moore

Mixtures of Controllers for Jump Linear and Non-Linear Plants Timothy W. Cacciatore, Steven J. Nowlan

Monte Carlo Matrix Inversion and Reinforcement Learning Andrew Barto, Michael Duff

Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes Alan Lapedes, Evan Steeg, Robert Farber

Neural Network Exploration Using Optimal Experiment Design David A. Cohn

Neural Network Methods for Optimization Problems Arun Jagota

Neurobiology, Psychophysics, and Computational Models of Visual Attention Ernst Niebur, Bruno A. Olshausen

Non-Intrusive Gaze Tracking Using Artificial Neural Networks Shumeet Baluja, Dean Pomerleau

Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks Jonathan L. Shapiro, Adam Prügel-Bennett

Observability of Neural Network Behavior Max Garzon, Fernanda Botelho

Odor Processing in the Bee: A Preliminary Study of the Role of Central Input to the Antennal Lobe Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg

On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks Herbert Wiklicky

Optimal Brain Surgeon: Extensions and Performance Comparisons Babak Hassibi, David G. Stork, Gregory Wolff

Optimal Signalling in Attractor Neural Networks Isaac Meilijson, Eytan Ruppin

Optimal Stochastic Search and Adaptive Momentum Todd K. Leen, Genevieve B. Orr

Optimal Stopping and Effective Machine Complexity in Learning Changfeng Wang, Santosh S. Venkatesh, J. Stephen Judd

Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements Terence D. Sanger

Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach Justin A. Boyan, Michael L. Littman

Postal Address Block Location Using a Convolutional Locator Network Ralph Wolf, John C. Platt

Probabilistic Anomaly Detection in Dynamic Systems Padhraic Smyth

Processing of Visual and Auditory Space and Its Modification by Experience Josef P. Rauschecker, Terrence J. Sejnowski

Putting It All Together: Methods for Combining Neural Networks Michael P. Perrone

Recognition-Based Segmentation of On-Line Cursive Handwriting Nicholas S. Flann

Recovering a Feed-Forward Net from Its Output Charles Fefferman, Scott Markel

Resolving Motion Ambiguities K. I. Diamantaras, D. Geiger

Robot Learning: Exploration and Continuous Domains David A. Cohn

Robust Parameter Estimation and Model Selection for Neural Network Regression Yong Liu

Robust Reinforcement Learning in Motion Planning Satinder P. Singh, Andrew G. Barto, Roderic Grupen, Christopher Connolly

Segmental Neural Net Optimization for Continuous Speech Recognition Ying Zhao, Richard Schwartz, John Makhoul, George Zavaliagkos

Signature Verification Using a "Siamese" Time Delay Neural Network Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah

Solvable Models of Artificial Neural Networks Sumio Watanabe

Speaker Recognition Using Neural Tree Networks Kevin R. Farrell, Richard J. Mammone

Stability and Observability Max H. Garzon, Fernanda Botelho

Statistics of Natural Images: Scaling in the Woods Daniel L. Ruderman, William Bialek

Structural and Behavioral Evolution of Recurrent Networks Gregory M. Saunders, Peter J. Angeline, Jordan B. Pollack

Structured Machine Learning for 'Soft' Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing and Evaluation Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein Md, Barbara Klein Md

Supervised Learning from Incomplete Data via an EM Approach Zoubin Ghahramani, Michael I. Jordan

Supervised Learning with Growing Cell Structures Bernd Fritzke

Surface Learning with Applications to Lipreading Christoph Bregler, Stephen M. Omohundro

Synchronization, Oscillations, and 1/f Noise in Networks of Spiking Neurons Martin Stemmler, Marius Usher, Christof Koch, Zeev Olami

Temporal Difference Learning of Position Evaluation in the Game of Go Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski

The "Softmax" Nonlinearity: Derivation Using Statistical Mechanics and Useful Properties as a Multiterminal Analog Circuit Element I. M. Elfadel, J. L. Wyatt Jr.

The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces Andrew W. Moore

The Power of Amnesia Dana Ron, Yoram Singer, Naftali Tishby

The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields G. T. Buracas, T. D. Albright

The Statistical Mechanics of K-Satisfaction Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky

Tonal Music as a Componential Code: Learning Temporal Relationships Between and Within Pitch and Timing Components Catherine Stevens, Janet Wiles

Training Neural Networks with Deficient Data Volker Tresp, Subutai Ahmad, Ralph Neuneier

Transition Point Dynamic Programming Kenneth M. Buckland, Peter D. Lawrence

Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples Terence D. Sanger

Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching Chien-Ping Lu, Eric Mjolsness

Unsupervised Learning of Mixtures of Multiple Causes in Binary Data Eric Saund

Unsupervised Parallel Feature Extraction from First Principles Mats Österberg, Reiner Lenz

Use of Bad Training Data for Better Predictions Tal Grossman, Alan Lapedes

Using Local Trajectory Optimizers to Speed up Global Optimization in Dynamic Programming Christopher G. Atkeson

VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems Andreas G. Andreou, Thomas G. Edwards

WATTLE: A Trainable Gain Analogue VLSI Neural Network Richard Coggins, Marwan Jabri

What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop Mark A. Gluck

When Will a Genetic Algorithm Outperform Hill Climbing Melanie Mitchell, John H. Holland, Stephanie Forrest