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TitleAuthorContent TypePub Datesort descending
Improving the Generalization Properties of Radial Basis Function Neural Networks [NECO 3:4]Chris BishopArticle1991-12-01
Temporal Evolution of Generalization during Learning in Linear Networks [NECO 3:4]Pierre Baldi, Yves ChauvinArticle1991-12-01
Kolmogorov's Theorem Is Relevant [NECO 3:4]Věra KůrkováArticle1991-12-01
An Exponential Response Neural Net [NECO 3:4]Shlomo Geva, Joaquin SitteArticle1991-12-01
Index to Volume 3 [NECO 3:4]Article1991-12-01
Neural Networks and the Bias/Variance Dilemma [NECO 4:1]Stuart Geman, Elie Bienenstock, René DoursatArticle1992-01-01
A Model for the Action of NMDA Conductances in the Visual Cortex [NECO 4:1]Kevin Fox, Nigel DawArticle1992-01-01
Feature Extraction Using an Unsupervised Neural Network [NECO 4:1]Nathan IntratorArticle1992-01-01
Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed C... [NECO 4:1]K. P. Unnikrishnan, J. J. Hopfield, D. W. TankArticle1992-01-01
Local Feedback Multilayered Networks [NECO 4:1]Paolo Frasconi, Marco Gori, Giovanni SodaArticle1992-01-01
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Ne... [NECO 4:1]Jürgen SchmidhuberArticle1992-01-01
First- and Second-Order Methods for Learning: Between Steepest Descent and Newto... [NECO 4:2]Roberto BattitiArticle1992-03-01
Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks [NECO 4:2]Douglas A. Miller, Steven W. ZuckerArticle1992-03-01
A Volatility Measure for Annealing in Feedback Neural Networks [NECO 4:2]Joshua Alspector, Torsten Zeppenfeld, Stephan LunaArticle1992-03-01
A Simple Network Showing Burst Synchronization without Frequency Locking [NECO 4:2]Christof Koch, Heinz SchusterArticle1992-03-01
On a Magnitude Preserving Iterative MAXnet Algorithm [NECO 4:2]Bruce W. Suter, Matthew KabriskyArticle1992-03-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurren... [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2]David Cohn, Gerald TesauroArticle1992-03-01
Working Memory Networks for Learning Temporal Order with Application to Three-Di... [NECO 4:2]Gary Bradski, Gail A. Carpenter, Stephen GrossbergArticle1992-03-01
Morphology and ComputationRichard SproatBook1992-04-15
Neural Networks and Natural IntelligenceStephen GrossbergBook1992-04-22
Neurocomputational Perspective, APaul M. ChurchlandBook1992-04-22
Adaptation in Natural and Artificial SystemsJohn H. HollandBook1992-04-29
Bayesian Interpolation [NECO 4:3]David J. C. MacKayArticle1992-05-01
A Distributed Neural Network Architecture for Hexapod Robot Locomotion [NECO 4:3]Randall D. Beer, Hillel J. Chiel, Roger D. Quinn, Kenneth S. Espenschied, Patrik LarssonArticle1992-05-01
Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Rob... [NECO 4:3]Alan F. MurrayArticle1992-05-01
Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter Syst... [NECO 4:3]Reiner Lenz, Mats ÖsterbergArticle1992-05-01
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural... [NECO 4:3]C. L. Giles, C. B. Miller, D. Chen, H. H. Chen, G. Z. Sun, Y. C. LeeArticle1992-05-01
Induction of Finite-State Languages Using Second-Order Recurrent Networks [NECO 4:3]Raymond L. Watrous, Gary M. KuhnArticle1992-05-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Computational Brain, ThePatricia Smith Churchland, Terrence J. SejnowskiBook1992-06-12
Information-Based Objective Functions for Active Data Selection [NECO 4:4]David J. C. MacKayArticle1992-07-01
Simplifying Neural Networks by Soft Weight-Sharing [NECO 4:4]Steven J. Nowlan, Geoffrey E. HintonArticle1992-07-01
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron [NECO 4:4]Chris BishopArticle1992-07-01
Phase Coupling in Simulated Chains of Coupled Oscillators Representing the Lampr... [NECO 4:4]Thelma L. WilliamsArticle1992-07-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Errata [NECO 4:4]Article1992-07-01
Rediscovery of the Mind, TheJohn R. SearleBook1992-07-08
A Simplified Neural-Network Solution through Problem Decomposition: The Case of ... [NECO 4:5]Robert E. Jenkins, Ben P. YuhasArticle1992-09-01
Seeing Beyond the Nyquist Limit [NECO 4:5]Daniel L. Ruderman, William BialekArticle1992-09-01
On the Information Storage Capacity of Local Learning Rules [NECO 4:5]Günther PalmArticle1992-09-01
Nonlinear Dynamics and Symbolic Dynamics of Neural Networks [NECO 4:5]John E. Lewis, Leon GlassArticle1992-09-01
Learning to Segment Images Using Dynamic Feature Binding [NECO 4:5]Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. WilliamsArticle1992-09-01
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear... [NECO 4:5]Ralph LinskerArticle1992-09-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
The Evidence Framework Applied to Classification Networks [NECO 4:5]David J. C. MacKayArticle1992-09-01
Rotor Neurons: Basic Formalism and Dynamics [NECO 4:5]Lars Gislén, Carsten Peterson, Bo SöderbergArticle1992-09-01
Refining PID Controllers Using Neural Networks [NECO 4:5]Gary M. Scott, Jude W. Shavlik, W. Harmon RayArticle1992-09-01
Ultrasound Tomography Imaging of Defects Using Neural Networks [NECO 4:5]Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. T. MottramArticle1992-09-01

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