Advances in Neural Information Processing Systems 3 (NIPS 1990)

• Modeling Time Varying Systems Using Hidden Control Neural Architecture Esther Levin
• Using Genetic Algorithms to Improve Pattern Classification Performance Eric Chang, Richard P. Lippmann
• Generalization Dynamics in LMS Trained Linear Networks Yves Chauvin
• Optimal Filtering in the Salamander Retina Fred Rieke, W. Owen, William Bialek
• Oscillation Onset in Neural Delayed Feedback André Longtin
• Relaxation Networks for Large Supervised Learning Problems Joshua Alspector, Robert 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 Rossen
• Dynamics of Generalization in Linear Perceptrons Anders Krogh, John Hertz
• Translating Locative Prepositions Paul Munro, Mary Tabasko
• Adaptive Spline Networks Jerome 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. Pearson
• ART2/BP architecture for adaptive estimation of dynamic processes Einar Sørheim
• Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas Brown, Zachary Mainen, Anthony Zador, Brenda Claiborne
• Connection Topology and Dynamics in Lateral Inhibition Networks C.M Marcus, F. Waugh, R. Westervelt
• A Delay-Line Based Motion Detection Chip Tim Horiuchi, John Lazzaro, Andrew Moore, Christof Koch
• Back Propagation is Sensitive to Initial Conditions John Kolen, Jordan Pollack
• Applications of Neural Networks in Video Signal Processing John 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 Chuang, Alice Chiang
• Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons Thomas Kepler, L. Abbott, Eve Marder
• Note on Learning Rate Schedules for Stochastic Optimization Christian Darken, John Moody
• Remarks on Interpolation and Recognition Using Neural Nets Eduardo Sontag
• Rapidly Adapting Artificial Neural Networks for Autonomous Navigation Dean Pomerleau
• A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings Robert Allen, Candace Kamm
• Adjoint-Functions and Temporal Learning Algorithms in Neural Networks N. Toomarian, J. Barhen
• Language Induction by Phase Transition in Dynamical Recognizers Jordan Pollack
• Chaitin-Kolmogorov Complexity and Generalization in Neural Networks Barak Pearlmutter, Ronald Rosenfeld
• VLSI Implementations of Learning and Memory Systems: A Review Mark 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 Baum, Kevin 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 Leung, James Glass, Michael 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 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 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. Miller, Brian Box, Erich Whitney, James Glynn
• Shaping the State Space Landscape in Recurrent Networks Patrice Simard, Jean Raysz, Bernard Victorri
• EMPATH: Face, Emotion, and Gender Recognition Using Holons Garrison 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 Kammen, Christof Koch, Daniel Ruderman, Heinz Schuster
• An Analog VLSI Splining Network Daniel Schwartz, Vijay 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 Sereno, Margaret 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 Botros, Christopher Atkeson
• Learning Time-varying Concepts Anthony Kuh, Thomas Petsche, Ronald Rivest
• A Theory for Neural Networks with Time Delays Bert de Vries, José Príncipe
• Natural Dolphin Echo Recognition Using an Integrator Gateway Network Herbert Roitblat, Patrick Moore, Paul Nachtigall, Ralph Penner
• Compact EEPROM-based Weight Functions A. Kramer, C. Sin, R. Chu, P. Ko
• Discovering Viewpoint-Invariant Relationships That Characterize Objects Richard 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 Solla
• Connectionist Music Composition Based on Melodic and Stylistic Constraints Michael C. Mozer, Todd Soukup
• Transforming Neural-Net Output Levels to Probability Distributions John 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 C. 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 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 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 Noordewier, Geoffrey Towell, Jude Shavlik
• ALCOVE: A Connectionist Model of Human Category Learning John Kruschke
• Multi-Layer Perceptrons with B-Spline Receptive Field Functions Stephen Lane, Marshall Flax, David Handelman, Jack Gelfand
• Bumptrees for Efficient Function, Constraint and Classification Learning Stephen 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. Friedman
• A Multiscale Adaptive Network Model of Motion Computation in Primates H. Wang, Bimal Mathur, Christof Koch
• Spherical Units as Dynamic Consequential Regions: Implications for Attention, Competition and Categorization Stephen Hanson, Mark 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 Humphreys, John Bain, Simon Dennis
• Flight Control in the Dragonfly: A Neurobiological Simulation William Faller, Marvin 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 Collard
• Statistical Mechanics of Temporal Association in Neural Networks Andreas Herz, Zhaoping Li, J. van Hemmen
• Cholinergic Modulation May Enhance Cortical Associative Memory Function Michael Hasselmo, Brooke Anderson, James Bower
• Neural Network Application to Diagnostics and Control of Vehicle Control Systems Kenneth Marko
• Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution Ron Keesing, David Stork
• A Lagrangian Approach to Fixed Points Eric Mjolsness, Willard Miranker
• Neural Network Implementation of Admission Control Rodolfo Milito, Isabelle Guyon, Sara 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 Weigend, David Rumelhart, Bernardo 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 Cotterill, Benny Lautrup, Steffen Petersen
• Back Propagation Implementation on the Adaptive Solutions CNAPS Neurocomputer Chip Hal McCartor
• Asymptotic slowing down of the nearest-neighbor classifier Robert Snapp, Demetri Psaltis, Santosh 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 Goggin, Kristina Johnson, Karl Gustafson
• Signal Processing by Multiplexing and Demultiplexing in Neurons David Tam
• Lg Depth Estimation and Ripple Fire Characterization Using Artificial Neural Networks John Perry, Douglas Baumgardt
• Adaptive Range Coding Bruce Rosen, James Goodwin, Jacques Vidal
• RecNorm: Simultaneous Normalisation and Classification applied to Speech Recognition John Bridle, Stephen J. Cox
• A four neuron circuit accounts for change sensitive inhibition in salamander retina Jeffrey Teeters, Frank Eeckman, Frank 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 Mel, Stephen Omohundro
• Proximity Effect Corrections in Electron Beam Lithography Using a Neural Network Robert Frye, Kevin Cummings, Edward Rietman
• Exploiting Syllable Structure in a Connectionist Phonology Model David Touretzky, Deirdre 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 Keeler, David Rumelhart, Wee 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 Anastasio
• The Devil and the Network: What Sparsity Implies to Robustness and Memory Sanjay Biswas, Santosh 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 Shepard, Sheila Kannappan
• Discrete Affine Wavelet Transforms For Anaylsis And Synthesis Of Feedfoward Neural Networks Y. Pati, P. Krishnaprasad
• Convergence of a Neural Network Classifier John Baras, Anthony LaVigna
• Optimal Sampling of Natural Images: A Design Principle for the Visual System William Bialek, Daniel Ruderman, A. Zee
• Time Trials on Second-Order and Variable-Learning-Rate Algorithms Richard Rohwer
• A competitive modular connectionist architecture Robert Jacobs, Michael Jordan
• A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn R.D. Beer, G. Kacmarcik, R.E. Ritzmann, H.J. Chiel
• A VLSI Neural Network for Color Constancy Andrew 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 Bilbro, David van den Bout
• Further Studies of a Model for the Development and Regeneration of Eye-Brain Maps Jack Cowan, A. Friedman
• The Recurrent Cascade-Correlation Architecture Scott Fahlman
• Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction V. Kadirkamanathan, M. Niranjan, F. Fallside