NeurIPS 1990

143 papers

A B-P ANN Commodity Trader Joseph E. Collard

A Comparative Study of the Practical Characteristics of Neural Network and Conventional Pattern Classifiers Kenney Ng, Richard P Lippmann

A Competitive Modular Connectionist Architecture Robert A. Jacobs, Michael I. Jordan

A Connectionist Learning Control Architecture for Navigation Jonathan R. Bachrach

A Delay-Line Based Motion Detection Chip Tim Horiuchi, John Lazzaro, Andrew Moore, Christof Koch

A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina Jeffrey L. Teeters, Frank H. Eeckman, Frank S. Werblin

A Framework for the Cooperation of Learning Algorithms Léon Bottou, Patrick Gallinari

A Lagrangian Approach to Fixed Points Eric Mjolsness, Willard L. Miranker

A Method for the Efficient Design of Boltzmann Machines for Classiffication Problems Ajay Gupta, Wolfgang Maass

A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn R.D. Beer, G. J. Kacmarcik, R.E. Ritzmann, H.J. Chiel

A Multiscale Adaptive Network Model of Motion Computation in Primates H. Taichi Wang, Bimal Mathur, Christof Koch

A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis Yoichi Hayashi

A Neural Network Approach for Three-Dimensional Object Recognition Volker Tresp

A Novel Approach to Prediction of the 3-Dimensional Structures of Protein Backbones by Neural Networks Henrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney M. J. Cotterill, Benny Lautrup, Steffen B. Petersen

A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings Robert B. Allen, Candace A. Kamm

A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex Thomas J. Anastasio

A Reinforcement Learning Variant for Control Scheduling Aloke Guha

A Second-Order Translation, Rotation and Scale Invariant Neural Network Shelly D. D. Goggin, Kristina M. Johnson, Karl E. Gustafson

A Short-Term Memory Architecture for the Learning of Morphophonemic Rules Michael Gasser, Chan-Do Lee

A Theory for Neural Networks with Time Delays Bert de Vries, José Carlos Príncipe

A VLSI Neural Network for Color Constancy Andrew W. Moore, John Allman, Geoffrey Fox, Rodney Goodman

Adaptive Range Coding Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal

Adaptive Spline Networks Jerome H. Friedman

Adjoint-Functions and Temporal Learning Algorithms in Neural Networks N. Toomarian, J. Barhen

ALCOVE: A Connectionist Model of Human Category Learning John K. Kruschke

An Analog VLSI Chip for Finding Edges from Zero-Crossings Wyeth Bair, Christof Koch

An Analog VLSI Splining Network Daniel B. Schwartz, Vijay K. Samalam

An Attractor Neural Network Model of Recall and Recognition Eytan Ruppin, Yehezkel Yeshurun

Analog Computation at a Critical Point: A Novel Function for Neuronal Oscillations? Leonid Kruglyak, William Bialek

Analog Neural Networks as Decoders Ruth Erlanson, Yaser Abu-Mostafa

Applications of Neural Networks in Video Signal Processing John C. Pearson, Clay D. Spence, Ronald Sverdlove

ART2/BP Architecture for Adaptive Estimation of Dynamic Processes Einar Sørheim

Associative Memory in a Network of `Biological' Neurons Wulfram Gerstner

Asymptotic Slowing Down of the Nearest-Neighbor Classifier Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh

Back Propagation Implementation on the Adaptive Solutions CNAPS Neurocomputer Chip Hal McCartor

Back Propagation Is Sensitive to Initial Conditions John F. Kolen, Jordan B. Pollack

Basis-Function Trees as a Generalization of Local Variable Selection Methods for Function Approximation Terence D. Sanger

Bumptrees for Efficient Function, Constraint and Classification Learning Stephen M. Omohundro

CAM Storage of Analog Patterns and Continuous Sequences with 3n2 Weights Bill Baird, Frank Eeckman

Can Neural Networks Do Better than the Vapnik-Chervonenkis Bounds? David Cohn, Gerald Tesauro

Chaitin-Kolmogorov Complexity and Generalization in Neural Networks Barak A. Pearlmutter, Ronald Rosenfeld

Cholinergic Modulation May Enhance Cortical Associative Memory Function Michael E. Hasselmo, Brooke P. Anderson, James M. Bower

Closed-Form Inversion of Backpropagation Networks: Theory and Optimization Issues Michael L. Rossen

Compact EEPROM-Based Weight Functions A. Kramer, C. K. Sin, R. Chu, P. K. Ko

Comparison of Three Classification Techniques: CART, C4.5 and Multi-Layer Perceptrons A. C. Tsoi, R. A. Pearson

Computing with Arrays of Bell-Shaped and Sigmoid Functions Pierre Baldi

Connection Topology and Dynamics in Lateral Inhibition Networks C.M Marcus, F. R. Waugh, R. M. Westervelt

Connectionist Approaches to the Use of Markov Models for Speech Recognition Hervé Bourlard, Nelson Morgan, Chuck Wooters

Connectionist Implementation of a Theory of Generalization Roger N. Shepard, Sheila Kannappan

Connectionist Music Composition Based on Melodic and Stylistic Constraints Michael Mozer, Todd Soukup

Constructing Hidden Units Using Examples and Queries Eric B. Baum, Kevin J. Lang

Continuous Speech Recognition by Linked Predictive Neural Networks Joe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer

Convergence of a Neural Network Classifier John S. Baras, Anthony LaVigna

Design and Implementation of a High Speed CMAC Neural Network Using Programmable CMOS Logic Cell Arrays W. Thomas Miller Iii, Brian A. Box, Erich C. Whitney, James M. Glynn

Designing Linear Threshold Based Neural Network Pattern Classifiers Terrence L. Fine

Development and Spatial Structure of Cortical Feature Maps: A Model Study Klaus Obermayer, Helge Ritter, Klaus Schulten

Direct Memory Access Using Two Cues: Finding the Intersection of Sets in a Connectionist Model Janet Wiles, Michael S. Humphreys, John D. Bain, Simon Dennis

Discovering Discrete Distributed Representations with Iterative Competitive Learning Michael Mozer

Discovering Viewpoint-Invariant Relationships That Characterize Objects Richard S. Zemel, Geoffrey E. Hinton

Discrete Affine Wavelet Transforms for Anaylsis and Synthesis of Feedfoward Neural Networks Y. C. Pati, P. S. Krishnaprasad

Distributed Recursive Structure Processing Geraldine Legendre, Yoshiro Miyata, Paul Smolensky

Dynamics of Generalization in Linear Perceptrons Anders Krogh, John A. Hertz

Dynamics of Learning in Recurrent Feature-Discovery Networks Todd K. Leen

E-Entropy and the Complexity of Feedforward Neural Networks Robert C. Williamson

EMPATH: Face, Emotion, and Gender Recognition Using Holons Garrison W. Cottrell, Janet Metcalfe

Evaluation of Adaptive Mixtures of Competing Experts Steven J. Nowlan, Geoffrey E. Hinton

Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution Ron Keesing, David G. Stork

Exploiting Syllable Structure in a Connectionist Phonology Model David S. Touretzky, Deirdre W. Wheeler

Exploratory Feature Extraction in Speech Signals Nathan Intrator

Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples Federico Girosi, Tomaso Poggio, Bruno Caprile

Feedback Synapse to Cone and Light Adaptation Josef Skrzypek

Flight Control in the Dragonfly: A Neurobiological Simulation William E. Faller, Marvin W. Luttges

From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems Victor Zue, James Glass, David Goodine, Lynette Hirschman, Hong Leung, Michael Phillips, Joseph Polifroni, Stephanie Seneff

Further Studies of a Model for the Development and Regeneration of Eye-Brain Maps Jack D. Cowan, A. E. Friedman

Generalization by Weight-Elimination with Application to Forecasting Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman

Generalization Dynamics in LMS Trained Linear Networks Yves Chauvin

Generalization Properties of Radial Basis Functions Sherif M. Botros, Christopher G. Atkeson

Grouping Contours by Iterated Pairing Network Amnon Shashua, Shimon Ullman

How Receptive Field Parameters Affect Neural Learning Bartlett W. Mel, Stephen M. Omohundro

Integrated Modeling and Control Based on Reinforcement Learning and Dynamic Programming Richard S. Sutton

Integrated Segmentation and Recognition of Hand-Printed Numerals James D. Keeler, David E. Rumelhart, Wee Kheng Leow

Interaction Among Ocularity, Retinotopy and On-center/Off-Center Pathways During Development Shigeru Tanaka

Kohonen Networks and Clustering: Comparative Performance in Color Clustering Wesley Snyder, Daniel Nissman, David Van den Bout, Griff Bilbro

Language Induction by Phase Transition in Dynamical Recognizers Jordan B. Pollack

Leaning by Combining Memorization and Gradient Descent John C. Platt

Learning Theory and Experiments with Competitive Networks Griff L. Bilbro, David E. van den Bout

Learning Time-Varying Concepts Anthony Kuh, Thomas Petsche, Ronald L. Rivest

Learning to See Rotation and Dilation with a Hebb Rule Martin I. Sereno, Margaret E. Sereno

Learning Trajectory and Force Control of an Artificial Muscle Arm by Parallel-Hierarchical Neural Network Model Masazumi Katayama, Mitsuo Kawato

Lg Depth Estimation and Ripple Fire Characterization Using Artificial Neural Networks John L. Perry, Douglas R. Baumgardt

Modeling Time Varying Systems Using Hidden Control Neural Architecture Esther Levin

Multi-Layer Perceptrons with B-Spline Receptive Field Functions Stephen H. Lane, Marshall Flax, David Handelman, Jack Gelfand

Natural Dolphin Echo Recognition Using an Integrator Gateway Network Herbert L. Roitblat, Patrick W. B. Moore, Paul E. Nachtigall, Ralph H. Penner

Navigating Through Temporal Difference Peter Dayan

Neural Dynamics of Motion Segmentation and Grouping Ennio Mingolla

Neural Network Application to Diagnostics and Control of Vehicle Control Systems Kenneth A. Marko

Neural Network Implementation of Admission Control Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla

Neural Networks Structured for Control Application to Aircraft Landing Charles Schley, Yves Chauvin, Van Henkle, Richard Golden

Note on Learning Rate Schedules for Stochastic Optimization Christian Darken, John E. Moody

On Stochastic Complexity and Admissible Models for Neural Network Classifiers Padhraic Smyth

On the Circuit Complexity of Neural Networks V. P. Roychowdhury, K. Y. Siu, A. Orlitsky, T. Kailath

Optimal Filtering in the Salamander Retina Fred Rieke, W. Geoffrey Owen, William Bialek

Optimal Sampling of Natural Images: A Design Principle for the Visual System William Bialek, Daniel L. Ruderman, A. Zee

Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons Thomas B. Kepler, L. F. Abbott, Eve Marder

Oriented Non-Radial Basis Functions for Image Coding and Analysis Avijit Saha, Jim Christian, Dun-Sung Tang, Wu Chuan-Lin

Oscillation Onset in Neural Delayed Feedback André Longtin

Phase-Coupling in Two-Dimensional Networks of Interacting Oscillators Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel L. Ruderman, Heinz G. Schuster

Phonetic Classification and Recognition Using the Multi-Layer Perceptron Hong C. Leung, James R. Glass, Michael S. Phillips, Victor W. Zue

Planning with an Adaptive World Model Sebastian Thrun, Knut Möller, Alexander Linden

Proximity Effect Corrections in Electron Beam Lithography Using a Neural Network Robert C. Frye, Kevin D. Cummings, Edward A. Rietman

Qualitative Structure from Motion Daphna Weinshall

Rapidly Adapting Artificial Neural Networks for Autonomous Navigation Dean Pomerleau

Real-Time Autonomous Robot Navigation Using VLSI Neural Networks Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan Murray

RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition John S. Bridle, Stephen J. Cox

Reconfigurable Neural Net Chip with 32k Connections H. P. Graf, R. Janow, D. Henderson, R. Lee

Reinforcement Learning in Markovian and Non-Markovian Environments Jürgen Schmidhuber

Relaxation Networks for Large Supervised Learning Problems Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, Ronny Meir

Remarks on Interpolation and Recognition Using Neural Nets Eduardo D. Sontag

Second Order Properties of Error Surfaces: Learning Time and Generalization Yann LeCun, Ido Kanter, Sara A. Solla

Self-Organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne

Sequential Adaptation of Radial Basis Function Neural Networks and Its Application to Time-Series Prediction V. Kadirkamanathan, M. Niranjan, F. Fallside

SEXNET: A Neural Network Identifies Sex from Human Faces B.A. Golomb, D.T. Lawrence, T.J. Sejnowski

Shaping the State Space Landscape in Recurrent Networks Patrice Simard, Jean Pierre Raysz, Bernard Victorri

Signal Processing by Multiplexing and Demultiplexing in Neurons David C. Tam

Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches J.D. Cowan, A. E. Friedman

Simulation of the Neocognitron on a CCD Parallel Processing Architecture Michael L. Chuang, Alice M. Chiang

Speech Recognition Using Connectionist Approaches Khalid Choukri

Speech Recognition Using Demi-Syllable Neural Prediction Model Ken-ichi Iso, Takao Watanabe

Spherical Units as Dynamic Consequential Regions: Implications for Attention, Competition and Categorization Stephen Jose Hanson, Mark A. Gluck

Spoken Letter Recognition Mark Fanty, Ronald Cole

Statistical Mechanics of Temporal Association in Neural Networks Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen

Stereopsis by a Neural Network Which Learns the Constraints Alireza Khotanzad, Ying-Wung Lee

Stochastic Neurodynamics J.D. Cowan

The Devil and the Network: What Sparsity Implies to Robustness and Memory Sanjay Biswas, Santosh S. Venkatesh

The Recurrent Cascade-Correlation Architecture Scott E. Fahlman

The Tempo 2 Algorithm: Adjusting Time-Delays by Supervised Learning Ulrich Bodenhausen, Alex Waibel

Time Trials on Second-Order and Variable-Learning-Rate Algorithms Richard Rohwer

Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik

Transforming Neural-Net Output Levels to Probability Distributions John S. Denker, Yann LeCun

Translating Locative Prepositions Paul W. Munro, Mary Tabasko

Using Genetic Algorithms to Improve Pattern Classification Performance Eric I. Chang, Richard P Lippmann

VLSI Implementation of TInMANN Matt Melton, Tan Phan, Doug Reeves, Dave Van den Bout

VLSI Implementations of Learning and Memory Systems: A Review Mark A. Holler