ML Anthology

NeCo 1990

49 papers

A Complementarity Mechanism for Enhanced Pattern Processing James L. Adams
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
A Method for Designing Neural Networks Using Nonlinear Multivariate Analysis: Application to Speaker-Independent Vowel Recognition Toshio Irino, Hideki Kawahara
A Neural Net Associative Memory for Real-Time Applications Gregory L. Heileman, George M. Papadourakis, Michael Georgiopoulos
A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy Reza Shadmehr, David Z. D'Argenio
A Polynomial Time Algorithm That Learns Two Hidden Unit Nets Eric B. Baum
Active Perception and Reinforcement Learning Steven D. Whitehead, Dana H. Ballard
An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories Ronald J. Williams, Jing Peng
An M-Ary Neural Network Model R. Bijjani, P. Das
An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal Carsten Peterson, Stephen Redfield, James D. Keeler, Eric Hartman
Analysis of Linsker's Simulations of Hebbian Rules David J. C. MacKay, Kenneth D. Miller
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Analysis of Neural Networks with Redundancy Yoshio Izui, Alex Pentland
Coherent Compound Motion: Corners and Nonrigid Configurations Steven W. Zucker, Lee Iverson, Robert A. Hummel
Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination Pierre Baldi, Ronny Meir
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Control of Neuronal Output by Inhibition at the Axon Initial Segment Rodney J. Douglas, Kevan A. C. Martin
Convergence Properties of Learning in ART1 Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic Plasticity Kenneth D. Miller
Discovering the Structure of a Reactive Environment by Exploration Michael C. Mozer, Jonathan Bachrach
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Distributed Symbolic Representation of Visual Shape Eric Saund
Exhaustive Learning Daniel B. Schwartz, Vijay K. Samalam, Sara A. Solla, John S. Denker
Faster Learning for Dynamic Recurrent Backpropagation Yan Fang, Terrence J. Sejnowski
Feature Linking via Synchronization Among Distributed Assemblies: Simulations of Results from Cat Visual Cortex Reinhard Eckhorn, Herbert J. Reitboeck, M. Arndt, P. Dicke
Generalized Deformable Models, Statistical Physics, and Matching Problems Alan L. Yuille
Generalizing Smoothness Constraints from Discrete Samples Chuanyi Ji, Robert R. Snapp, Demetri Psaltis
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Gram - Schmidt Neural Nets Sophocles J. Orfanidis
Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold Output Function Mark J. Brady
Hebb-Type Dynamics Is Sufficient to Account for the Inverse Magnification Rule in Cortical Somatotopy Kamil A. Grajski, Michael Merzenich
How to Solve the N Bit Encoder Problem with Just Two Hidden Units Leonid Kruglyak
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations Eric J. Hartman, James D. Keeler, Jacek M. Kowalski
Learning Virtual Equilibrium Trajectories for Control of a Robot Arm Reza Shadmehr
Modeling Orientation Discrimination at Multiple Reference Orientations with a Neural Network Mark Devos, Guy A. Orban
Optimal Plasticity from Matrix Memories: What Goes up Must Come Down David J. Willshaw, Peter Dayan
Parallel Distributed Approaches to Combinatorial Optimization: Benchmark Studies on Traveling Salesman Problem Carsten Peterson
Pattern Segmentation in Associative Memory DeLiang Wang, Joachim M. Buhmann, Christoph von der Malsburg
Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths James A. Reggia, Mark Edwards
Robust Classifiers Without Robust Features Alan J. Katz, Michael T. Gately, Dean R. Collins
Small Depth Polynomial Size Neural Networks Zoran Obradovic, Peiyuan Yan
Spontaneous Development of Modularity in Simple Cortical Models Alex Chernjavsky, John Moody
Stability of the Random Neural Network Model Erol Gelenbe
Structure from Motion with Impaired Local-Speed and Global Motion-Field Computations Lucia Maria Vaina, Norberto M. Grzywacz, Marjorie LeMay
Temporal Differentiation and Violation of Time-Reversal Invariance in Neurocomputation of Visual Information D. S. Tang, Vinod Menon
The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm Geoffrey E. Hinton, Steven J. Nowlan
The Effects of Precision Constraints in a Backpropagation Learning Network Paul W. Hollis, John S. Harper, John J. Paulos
The Perceptron Algorithm Is Fast for Nonmalicious Distributions Eric B. Baum
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks Marcus Frean
Towards a Theory of Early Visual Processing Joseph J. Atick, A. Norman Redlich
Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion William G. Baxt
Visual Perception of Three-Dimensional Motion David J. Heeger, Allan D. Jepson
VLSI Implementation of Neural Classifiers Arun Rao, Mark R. Walker, Lawrence T. Clark, Lex A. Akers, Robert O. Grondin