ML Anthology

NeCo 1995

77 papers

A Counterexample to Temporal Differences Learning Dimitri P. Bertsekas
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A Modular and Hybrid Connectionist System for Speaker Identification Younès Bennani
A Multiple Cause Mixture Model for Unsupervised Learning Eric Saund
A Perceptron Reveals the Face of Sex Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski
A Simple Competitive Account of Some Response Properties of Visual Neurons in Area MSTd Ruye Wang
A Type of Duality Between Self-Organizing Maps and Minimal Wiring Graeme Mitchison
Adaptive Voting Rules for K-Nearest Neighbors Classifiers Riccardo Rovatti, R. Ragazzoni, Zsolt Miklós Kovács-Vajna, Roberto Guerrieri
Agnostic PAC Learning of Functions on Analog Neural Nets Wolfgang Maass
An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks René Alquézar, Alberto Sanfeliu
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An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane Guillaume Deffuant
An HMM/MLP Architecture for Sequence Recognition Sung-Bae Cho, Jin H. Kim
An Information-Maximization Approach to Blind Separation and Blind Deconvolution Anthony J. Bell, Terrence J. Sejnowski
Arithmetic Perceptrons Sergio A. Cannas
Bayesian Regularization and Pruning Using a Laplace Prior Peter M. Williams
Bayesian Self-Organization Driven by Prior Probability Distributions Alan L. Yuille, Stelios M. Smirnakis, Lei Xu
Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Network Trained to Identify the Presence of Acute Myocardial Infarction William G. Baxt, Halbert White
Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia David Horn, Eytan Ruppin
Competition and Multiple Cause Models Peter Dayan, Richard S. Zemel
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Convergence Theorems for Hybrid Learning Rules Michel Benaïm
Convex Potentials and Their Conjugates in Analog Mean-Field Optimization Ibrahim M. Elfadel
Decorrelated Hebbian Learning for Clustering and Function Approximation Gustavo Deco, Dragan Obradovic
Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry Hans-Ulrich Bauer
Dynamic Cell Structure Learns Perfectly Topology Preserving mAP Jörg Bruske, Gerald Sommer
Empirical Risk Minimization Versus Maximum-Likelihood Estimation: A Case Study Ronny Meir
Error Estimation by Series Association for Neural Network Systems Keehoon Kim, Eric B. Bartlett
From Data Distributions to Regularization in Invariant Learning Todd K. Leen
Generalization and Analysis of the Lisberger-Sejnowski VOR Model Ning Qian
Hints Yaser S. Abu-Mostafa
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How Precise Is Neuronal Synchronization? Peter König, Andreas K. Engel, Pieter R. Roelfsema, Wolf Singer
Identification Using Feedforward Networks Asriel U. Levin, Kumpati S. Narendra
Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski, Pentti Huuhtanen
Introducing Asymmetry into Interneuron Learning Colin Fyfe
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and Without Queries Yoshiyuki Kabashima, Shigeru Shinomoto
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Model Peter Tiño, Jozef Sajda
Learning and Generalization in Radial Basis Function Networks Jason A. S. Freeman, David Saad
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Learning and Generalization with Minimerror, a Temperature-Dependent Learning Algorithm Bruno Raffin, Mirta B. Gordon
Learning Linear Threshold Approximations Using Perceptrons Tom Bylander
Learning Population Codes by Minimizing Description Length Richard S. Zemel, Geoffrey E. Hinton
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Learning the Initial State of a Second-Order Recurrent Neural Network During Regular-Language Inference Mikel L. Forcada, Rafael C. Carrasco
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges
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Local and Global Optimization Algorithms for Generalized Learning Automata Vijay V. Phansalkar, M. A. L. Thathachar
Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
Memory Recall by Quasi-Fixed-Point Attractors in Oscillator Neural Networks Tomoki Fukai, Masatoshi Shiino
Methods for Combining Experts' Probability Assessments Robert A. Jacobs
Models of Orientation and Ocular Dominance Columns in the Visual Cortex: A Critical Comparison E. Erwin, Klaus Obermayer, Klaus Schulten
New Perceptron Model Using Random Bitstreams Eel-Wan Lee, Soo-Ik Chae
On Neural Circuits and Cognition Michael S. Gazzaniga
On the Distribution and Convergence of Feature Space in Self-Organizing Maps Hujun Yin, Nigel M. Allinson
On the Ordering Conditions for Self-Organizing Maps Marco Budinich, John G. Taylor
On the Practical Applicability of VC Dimension Bounds Sean B. Holden, Mahesan Niranjan
Patterns of Functional Damage in Neural Network Models of Associative Memory Eytan Ruppin, James A. Reggia
Precision and Approximate Flatness in Artificial Neural Networks Maxwell B. Stinchcombe
Quantitative Analysis of Electrotonic Structure and Membrane Properties of NMDA-Activated Lamprey Spinal Neurons C. Richard Murphey, Lee E. Moore, James T. Buchanan
Real-Time Control of a Tokamak Plasma Using Neural Networks Christopher M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
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Reduced Representation by Neural Networks with Restricted Receptive Fields Marco Idiart, Barry Berk, L. F. Abbott
Regularization in the Selection of Radial Basis Function Centers Mark J. L. Orr
Regularization Theory and Neural Networks Architectures Federico Girosi, Michael J. Jones, Tomaso A. Poggio
Regularized Neural Networks: Some Convergence Rate Results Valentina Corradi, Halbert White
Representation of Similarity in Three-Dimensional Object Discrimination Shimon Edelman
Self-Organization as an Iterative Kernel Smoothing Process Filip Mulier, Vladimir Cherkassky
Similarity Metric Learning for a Variable-Kernel Classifier David G. Lowe
Sorting with Self-Organizing Maps Marco Budinich
Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
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Stable Adaptive Control of Robot Manipulators Using "Neural" Networks Robert M. Sanner, Jean-Jacques E. Slotine
Stochastic Single Neurons Toru Ohira, Jack D. Cowan
Synapse Models for Neural Networks: From Ion Channel Kinetics to Multiplicative Coefficient Wij François Chapeau-Blondeau, Nicolas Chambet
Synchrony in Excitatory Neural Networks David Hansel, Germán Mato, Claude Meunier
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Test Error Fluctuations in Finite Linear Perceptrons David Barber, David Saad, Peter Sollich
The EM Algorithm and Information Geometry in Neural Network Learning Shun-ichi Amari
The Helmholtz Machine Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
The Target Switch Algorithm: A Constructive Learning Procedure for Feed-Forward Neural Networks Colin Campbell, Conrado J. Pérez Vicente
The Upward Bias in Measures of Information Derived from Limited Data Samples Alessandro Treves, Stefano Panzeri
Time-Domain Solutions of Oja's Equations John L. Wyatt Jr., Ibrahim M. Elfadel
Time-Skew Hebb Rule in a Nonisopotential Neuron Barak A. Pearlmutter
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Topology and Geometry of Single Hidden Layer Network, Least Squares Weight Solutions Frans M. Coetzee, Virginia L. Stonick
Training with Noise Is Equivalent to Tikhonov Regularization Christopher M. Bishop
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks Gustavo Deco, William Finnoff, Hans-Georg Zimmermann