Advances in Neural Information Processing Systems 2 (NIPS 1989)

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• Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem Sheri Gish, W. Blanz
• Analog Circuits for Constrained Optimization John Platt
• Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters John Bridle
• Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment William Softky, Daniel Kammen
• Development and Regeneration of Eye-Brain Maps: A Computational Model Jack Cowan, A. Friedman
• Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms David Rogers
• Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech Shawn Lockery, Yan Fang, Terrence J. Sejnowski
• A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats Maurice Lee, James Bower
• Generalization and Scaling in Reinforcement Learning David Ackley, Michael Littman
• Neural Network Weight Matrix Synthesis Using Optimal Control Techniques O. Farotimi, Amir Dembo, Thomas Kailath
• Collective Oscillations in the Visual Cortex Daniel Kammen, Christof Koch, Philip Holmes
• Neural Networks: The Early Days Jack Cowan
• Operational Fault Tolerance of CMAC Networks Michael Carter, Franklin Rudolph, Adam Nucci
• Effects of Firing Synchrony on Signal Propagation in Layered Networks G. Kenyon, Eberhard Fetz, R. Puff
• Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images James Simmons
• Time Dependent Adaptive Neural Networks Fernando Pineda
• Neural Network Visualization Jakub Wejchert, Gerald Tesauro
• Discovering the Structure of a Reactive Environment by Exploration Michael C. Mozer, Jonathan Bachrach
• A Self-organizing Associative Memory System for Control Applications Michael Hormel
• Complexity of Finite Precision Neural Network Classifier Amir Dembo, Kai-Yeung Siu, Thomas Kailath
• Neuronal Group Selection Theory: A Grounding in Robotics Jim Donnett, Tim Smithers
• Dimensionality Reduction and Prior Knowledge in E-Set Recognition Kevin Lang, Geoffrey E. Hinton
• A self-organizing multiple-view representation of 3D objects Daphna Weinshall, Shimon Edelman, Heinrich Bülthoff
• Associative Memory in a Simple Model of Oscillating Cortex Bill Baird
• Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks Jacob Barhen, Nikzad Toomarian, Sandeep Gulati
• Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks Matthew Wilson, James Bower
• Coupled Markov Random Fields and Mean Field Theory Davi Geiger, Federico Girosi
• Pulse-Firing Neural Chips for Hundreds of Neurons Michael Brownlow, Lionel Tarassenko, Alan Murray, Alister Hamilton, Il Han, H. Reekie
• Rule Representations in a Connectionist Chunker David Touretzky, Gillette Elvgreen
• A Neural Network for Real-Time Signal Processing Donald Malkoff
• Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge Yoshua Bengio, Renato de Mori, Régis Cardin
• Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net Dun-Sung Tang
• An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex Stephen DeWeerth, Carver Mead
• A Reconfigurable Analog VLSI Neural Network Chip Srinagesh Satyanarayana, Yannis Tsividis, Hans Graf
• Handwritten Digit Recognition with a Back-Propagation Network Yann LeCun, Bernhard Boser, John Denker, Donnie Henderson, R. Howard, Wayne Hubbard, Lawrence Jackel
• Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks Alexander Moopenn, T. Duong, A. Thakoor
• Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps? Mark Nelson, James Bower
• A Cost Function for Internal Representations Anders Krogh, C. Thorbergsson, John Hertz
• HMM Speech Recognition with Neural Net Discrimination William Huang, Richard P. Lippmann
• The Effects of Circuit Integration on a Feature Map Vector Quantizer Jim Mann
• Generalization and Parameter Estimation in Feedforward Nets: Some Experiments N. Morgan, H. Bourlard
• VLSI Implementation of a High-Capacity Neural Network Associative Memory Tzi-Dar Chiueh, Rodney Goodman
• The Cascade-Correlation Learning Architecture Scott Fahlman, Christian Lebiere
• Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning Bartlett Mel, Christof Koch
• Optimal Brain Damage Yann LeCun, John Denker, Sara Solla
• Learning Aspect Graph Representations from View Sequences Michael Seibert, Allen Waxman
• The Effect of Catecholamines on Performance: From Unit to System Behavior David Servan-Schreiber, Harry Printz, Jonathan D. Cohen
• Meiosis Networks Stephen Hanson
• Synergy of Clustering Multiple Back Propagation Networks William Lincoln, Josef Skrzypek
• Incremental Parsing by Modular Recurrent Connectionist Networks Ajay Jain, Alex Waibel
• Reading a Neural Code William Bialek, Fred Rieke, Robert van Steveninck, David Warland
• A Method for the Associative Storage of Analog Vectors Amir Atiya, Yaser Abu-Mostafa
• Using Local Models to Control Movement Christopher Atkeson
• Learning to Control an Unstable System with Forward Modeling Michael Jordan, Robert Jacobs
• Learning in Higher-Order "Artificial Dendritic Trees Tony Bell
• Dynamic Behavior of Constained Back-Propagation Networks Yves Chauvin
• Designing Application-Specific Neural Networks Using the Genetic Algorithm Steven Harp, Tariq Samad, Aloke Guha
• A Computational Basis for Phonology David Touretzky, Deirdre Wheeler
• Neural Network Simulation of Somatosensory Representational Plasticity Kamil Grajski, Michael Merzenich
• A Neural Network for Feature Extraction Nathan Intrator
• Generalized Hopfield Networks and Nonlinear Optimization Gintaras Reklaitis, Athanasios Tsirukis, Manoel Tenorio
• Connectionist Architectures for Multi-Speaker Phoneme Recognition John Hampshire, Alex Waibel
• Bayesian Inference of Regular Grammar and Markov Source Models Kurt Smith, Michael Miller
• Dataflow Architectures: Flexible Platforms for Neural Network Simulation Ira Smotroff
• The Perceptron Algorithm Is Fast for Non-Malicious Distributions Eric Baum
• Discovering High Order Features with Mean Field Modules Conrad Galland, Geoffrey E. Hinton
• Sequential Decision Problems and Neural Networks A. G. Barto, R. S. Sutton, C. J. C. H. Watkins
• Asymptotic Convergence of Backpropagation: Numerical Experiments Subutai Ahmad, Gerald Tesauro, Yu He
• Training Connectionist Networks with Queries and Selective Sampling Les Atlas, David Cohn, Richard Ladner
• Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach Michail Zak, Nikzad Toomarian
• A Continuous Speech Recognition System Embedding MLP into HMM Hervé Bourlard, Nelson Morgan
• Analysis of Linsker's Simulations of Hebbian Rules David MacKay, Kenneth Miller
• Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions Zoran Obradovic, Ian Parberry
• A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes Paul Rhodes
• Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks David Zipser
• Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect Randall Beer, Hillel Chiel
• A Neural Network to Detect Homologies in Proteins Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin
• Higher Order Recurrent Networks and Grammatical Inference C. Giles, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee, Dong Chen
• Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems Yuchun Lee, Richard P. Lippmann
• Contour-Map Encoding of Shape for Early Vision Pentti Kanerva
• Maximum Likelihood Competitive Learning Steven Nowlan
• Note on Development of Modularity in Simple Cortical Models Alex Chernajvsky, John Moody
• Model Based Image Compression and Adaptive Data Representation by Interacting Filter Banks Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui, Sei Miyake
• On the Distribution of the Number of Local Minima of a Random Function on a Graph Pierre Baldi, Yosef Rinott, Charles Stein
• Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia Susan Lee
• Non-Boltzmann Dynamics in Networks of Spiking Neurons Michael Crair, William Bialek
• The "Moving Targets" Training Algorithm Richard Rohwer
• Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications Les Atlas, Ronald Cole, Jerome Connor, Mohamed El-Sharkawi, Robert Marks, Yeshwant Muthusamy, Etienne Barnard
• An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2 Xiru Zhang, Michael McKenna, Jill Mesirov, David Waltz
• Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks Avijit Saha, James Keeler
• The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN John Kassebaum, Manoel Tenorio, Christoph Schaefers
• Real-Time Computer Vision and Robotics Using Analog VLSI Circuits Christof Koch, Wyeth Bair, John Harris, Timothy Horiuchi, Andrew Hsu, Jin Luo
• The CHIR Algorithm for Feed Forward Networks with Binary Weights Tal Grossman
• A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters Yoshihiro Mori, Kazuki Joe
• Mechanisms for Neuromodulation of Biological Neural Networks Ronald Harris-Warrick
• Recognizing Hand-Printed Letters and Digits Gale Martin, James Pittman
• TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations Richard Zemel, Michael C. Mozer, Geoffrey E. Hinton
• Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays Fernando Nuñez, José Fortes
• Neurally Inspired Plasticity in Oculomotor Processes Paul Viola
• Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility Terrence J. Sejnowski, Ben Yuhas, Moise Goldstein, Robert Jenkins
• The Computation of Sound Source Elevation in the Barn Owl Clay D. Spence, John Pearson