Advances in Neural Information Processing Systems 3

NIPS 1990

Edited by R.P. Lippmann and J. Moody and D. Touretzky

143 papers

Modeling Time Varying Systems Using Hidden Control Neural Architecture Esther Levin
Using Genetic Algorithms to Improve Pattern Classification Performance Eric I. Chang, Richard P Lippmann
Generalization Dynamics in LMS Trained Linear Networks Yves Chauvin
Optimal Filtering in the Salamander Retina Fred Rieke, W. Geoffrey Owen, William Bialek
Oscillation Onset in Neural Delayed Feedback André Longtin
Relaxation Networks for Large Supervised Learning Problems Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, Ronny Meir
Neural Networks Structured for Control Application to Aircraft Landing Charles Schley, Yves Chauvin, Van Henkle, Richard Golden
Closed-Form Inversion of Backpropagation Networks: Theory and Optimization Issues Michael L. Rossen
Dynamics of Generalization in Linear Perceptrons Anders Krogh, John A. Hertz
Translating Locative Prepositions Paul W. Munro, Mary Tabasko
Adaptive Spline Networks Jerome H. Friedman
An Analog VLSI Chip for Finding Edges from Zero-crossings Wyeth Bair, Christof Koch
Comparison of three classification techniques: CART, C4.5 and Multi-Layer Perceptrons A. C. Tsoi, R. A. Pearson
ART2/BP architecture for adaptive estimation of dynamic processes Einar Sørheim
Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne
Connection Topology and Dynamics in Lateral Inhibition Networks C.M Marcus, F. R. Waugh, R. M. Westervelt
A Delay-Line Based Motion Detection Chip Tim Horiuchi, John Lazzaro, Andrew Moore, Christof Koch
Back Propagation is Sensitive to Initial Conditions John F. Kolen, Jordan B. Pollack
Applications of Neural Networks in Video Signal Processing John C. Pearson, Clay D. Spence, Ronald Sverdlove
Grouping Contours by Iterated Pairing Network Amnon Shashua, Shimon Ullman
Simulation of the Neocognitron on a CCD Parallel Processing Architecture Michael L. Chuang, Alice M. Chiang
Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons Thomas B. Kepler, L. F. Abbott, Eve Marder
Note on Learning Rate Schedules for Stochastic Optimization Christian Darken, John E. Moody
Remarks on Interpolation and Recognition Using Neural Nets Eduardo D. Sontag
Rapidly Adapting Artificial Neural Networks for Autonomous Navigation Dean Pomerleau
A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings Robert B. Allen, Candace A. Kamm
Adjoint-Functions and Temporal Learning Algorithms in Neural Networks N. Toomarian, J. Barhen
Language Induction by Phase Transition in Dynamical Recognizers Jordan B. Pollack
Chaitin-Kolmogorov Complexity and Generalization in Neural Networks Barak A. Pearlmutter, Ronald Rosenfeld
VLSI Implementations of Learning and Memory Systems: A Review Mark A. Holler
Neural Dynamics of Motion Segmentation and Grouping Ennio Mingolla
Exploratory Feature Extraction in Speech Signals Nathan Intrator
Constructing Hidden Units using Examples and Queries Eric B. Baum, Kevin J. Lang
Analog Neural Networks as Decoders Ruth Erlanson, Yaser Abu-Mostafa
A Reinforcement Learning Variant for Control Scheduling Aloke Guha
Kohonen Networks and Clustering: Comparative Performance in Color Clustering Wesley Snyder, Daniel Nissman, David Van den Bout, Griff Bilbro
Reconfigurable Neural Net Chip with 32K Connections H. P. Graf, R. Janow, D. Henderson, R. Lee
e-Entropy and the Complexity of Feedforward Neural Networks Robert C. Williamson
Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples Federico Girosi, Tomaso Poggio, Bruno Caprile
Stochastic Neurodynamics J.D. Cowan
Phonetic Classification and Recognition Using the Multi-Layer Perceptron Hong C. Leung, James R. Glass, Michael S. Phillips, Victor W. Zue
Learning Trajectory and Force Control of an Artificial Muscle Arm by Parallel-hierarchical Neural Network Model Masazumi Katayama, Mitsuo Kawato
Basis-Function Trees as a Generalization of Local Variable Selection Methods for Function Approximation Terence D. Sanger
A Short-Term Memory Architecture for the Learning of Morphophonemic Rules Michael Gasser, Chan-Do Lee
Associative Memory in a Network of `Biological' Neurons Wulfram Gerstner
Oriented Non-Radial Basis Functions for Image Coding and Analysis Avijit Saha, Jim Christian, Dun-Sung Tang, Wu Chuan-Lin
Evaluation of Adaptive Mixtures of Competing Experts Steven J. Nowlan, Geoffrey E. Hinton
Spoken Letter Recognition Mark Fanty, Ronald Cole
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
Shaping the State Space Landscape in Recurrent Networks Patrice Simard, Jean Pierre Raysz, Bernard Victorri
EMPATH: Face, Emotion, and Gender Recognition Using Holons Garrison W. Cottrell, Janet Metcalfe
Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways During Development Shigeru Tanaka
Phase-coupling in Two-Dimensional Networks of Interacting Oscillators Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel L. Ruderman, Heinz G. Schuster
An Analog VLSI Splining Network Daniel B. Schwartz, Vijay K. Samalam
Designing Linear Threshold Based Neural Network Pattern Classifiers Terrence L. Fine
Qualitative structure from motion Daphna Weinshall
Learning to See Rotation and Dilation with a Hebb Rule Martin I. Sereno, Margaret E. Sereno
A Comparative Study of the Practical Characteristics of Neural Network and Conventional Pattern Classifiers Kenney Ng, Richard P Lippmann
Real-time autonomous robot navigation using VLSI neural networks Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan Murray
CAM Storage of Analog Patterns and Continuous Sequences with 3N2 Weights Bill Baird, Frank Eeckman
Generalization Properties of Radial Basis Functions Sherif M. Botros, Christopher G. Atkeson
Learning Time-varying Concepts Anthony Kuh, Thomas Petsche, Ronald L. Rivest
A Theory for Neural Networks with Time Delays Bert de Vries, José Carlos Príncipe
Natural Dolphin Echo Recognition Using an Integrator Gateway Network Herbert L. Roitblat, Patrick W. B. Moore, Paul E. Nachtigall, Ralph H. Penner
Compact EEPROM-based Weight Functions A. Kramer, C. K. Sin, R. Chu, P. K. Ko
Discovering Viewpoint-Invariant Relationships That Characterize Objects Richard S. Zemel, Geoffrey E. Hinton
Reinforcement Learning in Markovian and Non-Markovian Environments Jürgen Schmidhuber
Second Order Properties of Error Surfaces: Learning Time and Generalization Yann LeCun, Ido Kanter, Sara A. Solla
Connectionist Music Composition Based on Melodic and Stylistic Constraints Michael Mozer, Todd Soukup
Transforming Neural-Net Output Levels to Probability Distributions John S. Denker, Yann LeCun
Can neural networks do better than the Vapnik-Chervonenkis bounds? David Cohn, Gerald Tesauro
Discovering Discrete Distributed Representations with Iterative Competitive Learning Michael Mozer
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis Yoichi Hayashi
Leaning by Combining Memorization and Gradient Descent John C. Platt
A Neural Network Approach for Three-Dimensional Object Recognition Volker Tresp
Distributed Recursive Structure Processing Geraldine Legendre, Yoshiro Miyata, Paul Smolensky
Dynamics of Learning in Recurrent Feature-Discovery Networks Todd K. Leen
Navigating through Temporal Difference Peter Dayan
On the Circuit Complexity of Neural Networks V. P. Roychowdhury, K. Y. Siu, A. Orlitsky, T. Kailath
An Attractor Neural Network Model of Recall and Recognition Eytan Ruppin, Yehezkel Yeshurun
Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik
ALCOVE: A Connectionist Model of Human Category Learning John K. Kruschke
Multi-Layer Perceptrons with B-Spline Receptive Field Functions Stephen H. Lane, Marshall Flax, David Handelman, Jack Gelfand
Bumptrees for Efficient Function, Constraint and Classification Learning Stephen M. Omohundro
Planning with an Adaptive World Model Sebastian Thrun, Knut Möller, Alexander Linden
Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches J.D. Cowan, A. E. Friedman
A Multiscale Adaptive Network Model of Motion Computation in Primates H. Taichi Wang, Bimal Mathur, Christof Koch
Spherical Units as Dynamic Consequential Regions: Implications for Attention, Competition and Categorization Stephen Jose Hanson, Mark A. Gluck
Speech Recognition Using Connectionist Approaches Khalid Choukri
Feedback Synapse to Cone and Light Adaptation Josef Skrzypek
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
Flight Control in the Dragonfly: A Neurobiological Simulation William E. Faller, Marvin W. Luttges
A Framework for the Cooperation of Learning Algorithms Léon Bottou, Patrick Gallinari
Continuous Speech Recognition by Linked Predictive Neural Networks Joe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer
A B-P ANN Commodity Trader Joseph E. Collard
Statistical Mechanics of Temporal Association in Neural Networks Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen
Cholinergic Modulation May Enhance Cortical Associative Memory Function Michael E. Hasselmo, Brooke P. Anderson, James M. Bower
Neural Network Application to Diagnostics and Control of Vehicle Control Systems Kenneth A. Marko
Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution Ron Keesing, David G. Stork
A Lagrangian Approach to Fixed Points Eric Mjolsness, Willard L. Miranker
Neural Network Implementation of Admission Control Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla
Computing with Arrays of Bell-Shaped and Sigmoid Functions Pierre Baldi
VLSI Implementation of TInMANN Matt Melton, Tan Phan, Doug Reeves, Dave Van den Bout
SEXNET: A Neural Network Identifies Sex From Human Faces B.A. Golomb, D.T. Lawrence, T.J. Sejnowski
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
Generalization by Weight-Elimination with Application to Forecasting Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman
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
Back Propagation Implementation on the Adaptive Solutions CNAPS Neurocomputer Chip Hal McCartor
Asymptotic slowing down of the nearest-neighbor classifier Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh
Connectionist Approaches to the Use of Markov Models for Speech Recognition Hervé Bourlard, Nelson Morgan, Chuck Wooters
A Second-Order Translation, Rotation and Scale Invariant Neural Network Shelly D. D. Goggin, Kristina M. Johnson, Karl E. Gustafson
Signal Processing by Multiplexing and Demultiplexing in Neurons David C. Tam
Lg Depth Estimation and Ripple Fire Characterization Using Artificial Neural Networks John L. Perry, Douglas R. Baumgardt
Adaptive Range Coding Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal
RecNorm: Simultaneous Normalisation and Classification applied to Speech Recognition John S. Bridle, Stephen J. Cox
A four neuron circuit accounts for change sensitive inhibition in salamander retina Jeffrey L. Teeters, Frank H. Eeckman, Frank S. Werblin
A Method for the Efficient Design of Boltzmann Machines for Classiffication Problems Ajay Gupta, Wolfgang Maass
How Receptive Field Parameters Affect Neural Learning Bartlett W. Mel, Stephen M. Omohundro
Proximity Effect Corrections in Electron Beam Lithography Using a Neural Network Robert C. Frye, Kevin D. Cummings, Edward A. Rietman
Exploiting Syllable Structure in a Connectionist Phonology Model David S. Touretzky, Deirdre W. Wheeler
Integrated Modeling and Control Based on Reinforcement Learning and Dynamic Programming Richard S. Sutton
A Connectionist Learning Control Architecture for Navigation Jonathan R. Bachrach
On Stochastic Complexity and Admissible Models for Neural Network Classifiers Padhraic Smyth
Analog Computation at a Critical Point: A Novel Function for Neuronal Oscillations? Leonid Kruglyak, William Bialek
Integrated Segmentation and Recognition of Hand-Printed Numerals James D. Keeler, David E. Rumelhart, Wee Kheng Leow
Speech Recognition Using Demi-Syllable Neural Prediction Model Ken-ichi Iso, Takao Watanabe
A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex Thomas J. Anastasio
The Devil and the Network: What Sparsity Implies to Robustness and Memory Sanjay Biswas, Santosh S. Venkatesh
Development and Spatial Structure of Cortical Feature Maps: A Model Study Klaus Obermayer, Helge Ritter, Klaus Schulten
Connectionist Implementation of a Theory of Generalization Roger N. Shepard, Sheila Kannappan
Discrete Affine Wavelet Transforms For Anaylsis And Synthesis Of Feedfoward Neural Networks Y. C. Pati, P. S. Krishnaprasad
Convergence of a Neural Network Classifier John S. Baras, Anthony LaVigna
Optimal Sampling of Natural Images: A Design Principle for the Visual System William Bialek, Daniel L. Ruderman, A. Zee
Time Trials on Second-Order and Variable-Learning-Rate Algorithms Richard Rohwer
A competitive modular connectionist architecture Robert A. Jacobs, Michael I. Jordan
A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn R.D. Beer, G. J. Kacmarcik, R.E. Ritzmann, H.J. Chiel
A VLSI Neural Network for Color Constancy Andrew W. Moore, John Allman, Geoffrey Fox, Rodney Goodman
Stereopsis by a Neural Network Which Learns the Constraints Alireza Khotanzad, Ying-Wung Lee
The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning Ulrich Bodenhausen, Alex Waibel
Learning Theory and Experiments with Competitive Networks Griff L. Bilbro, David E. van den Bout
Further Studies of a Model for the Development and Regeneration of Eye-Brain Maps Jack D. Cowan, A. E. Friedman
The Recurrent Cascade-Correlation Architecture Scott E. Fahlman
Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction V. Kadirkamanathan, M. Niranjan, F. Fallside

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