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TitleAuthorContent Typesort descendingPub Date
Local Algorithms for Pattern Recognition and Dependencies Estimation [NECO 5:6]V. Vapnik, L. BottouArticle1993-11-01
Rational Function Neural Network [NECO 5:6]Henry Leung, Simon HaykinArticle1993-11-01
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum E... [NECO 5:6]Marc M. Van Hulle, Dominique MartinezArticle1993-11-01
A Function Estimation Approach to Sequential Learning with Neural Networks [NECO 5:6]Visakan Kadirkamanathan, Mahesan NiranjanArticle1993-11-01
Fast Exact Multiplication by the Hessian [NECO 6:1]Barak A. PearlmutterArticle1994-01-01
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play [NECO 6:2]Gerald TesauroArticle1994-03-01
Learning of Phase Lags in Coupled Neural Oscillators [NECO 6:2]Bard Ermentrout, Nancy KopellArticle1994-03-01
A Probabilistic Resource Allocating Network for Novelty Detection [NECO 6:2]Stephen Roberts, Lionel TarassenkoArticle1994-03-01
Diffusion Approximations for the Constant Learning Rate Backpropagation Algorith... [NECO 6:2]William FinnoffArticle1994-03-01
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Applicat... [NECO 6:2]Françoise Beaufays, Eric A. WanArticle1994-03-01
On Functional Approximation with Normalized Gaussian Units [NECO 6:2]Michel BenaimArticle1994-03-01
Statistical Physics, Mixtures of Distributions, and the EM Algorithm [NECO 6:2]Alan L. Yuille, Paul Stolorz, Joachim UtansArticle1994-03-01
Statistical Physics Algorithms That Converge [NECO 6:3]A. L. Yuille, J. J. KosowskyArticle1994-05-01
Integration and Differentiation in Dynamic Recurrent Neural Networks [NECO 6:3]Edwin E. Munro, Larry E. Shupe, Eberhard E. FetzArticle1994-05-01
A Convergence Result for Learning in Recurrent Neural Networks [NECO 6:3]Chung-Ming Kuan, Kurt Hornik, Halbert WhiteArticle1994-05-01
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neu... [NECO 6:3]K. P. Unnikrishnan, K. P. VenugopalArticle1994-05-01
Finding the Embedding Dimension and Variable Dependencies in Time Series [NECO 6:3]Hong Pi, Carsten PetersonArticle1994-05-01
Neural Network Process Models Based on Linear Model Structures [NECO 6:4]Gary M. Scott, W. Harmon RayArticle1994-07-01
Stability of Oja's PCA Subspace Rule [NECO 6:4]Juha KarhunenArticle1994-07-01
Supervised Training of Neural Networks via Ellipsoid Algorithms [NECO 6:4]Man-Fung Cheung, Kevin M. Passino, Stephen YurkovichArticle1994-07-01
Why Some Feedforward Networks Cannot Learn Some Polynomials [NECO 6:4]N. Scott Cardell, Wayne Joerding, Ying LiArticle1994-07-01
Measuring the VC-Dimension of a Learning Machine [NECO 6:5]Vladimir Vapnik, Esther Levin, Yann Le CunArticle1994-09-01
Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neura... [NECO 6:5]Hossam Osman, Moustafa M. FahmyArticle1994-09-01
First-Order Recurrent Neural Networks and Deterministic Finite State Automata [NECO 6:6]Peter Manolios, Robert FanelliArticle1994-11-01
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms [NECO 6:6]Tommi Jaakkola, Michael I. Jordan, Satinder P. SinghArticle1994-11-01
A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Sp... [NECO 6:6]R. S. Shadafan, M. NiranjanArticle1994-11-01
Convergence Theorems for Hybrid Learning Rules [NECO 7:1]Michel BenaimArticle1995-01-01
A Type of Duality between Self-Organizing Maps and Minimal Wiring [NECO 7:1]Graeme MitchisonArticle1995-01-01
Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometr... [NECO 7:1]H.-U. BauerArticle1995-01-01
A Multiple Cause Mixture Model for Unsupervised Learning [NECO 7:1]Eric SaundArticle1995-01-01
Training with Noise is Equivalent to Tikhonov Regularization [NECO 7:1]Chris M. BishopArticle1995-01-01
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1]Yoshiyuki Kabashima, Shigeru ShinomotoArticle1995-01-01
Arithmetic Perceptrons [NECO 7:1]Sergio A. CannasArticle1995-01-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
A Counterexample to Temporal Differences Learning [NECO 7:2]Dimitri P. BertsekasArticle1995-03-01
On the Ordering Conditions for Self-Organizing Maps [NECO 7:2]Marco Budinich, John G. TaylorArticle1995-03-01
Decorrelated Hebbian Learning for Clustering and Function Approximation [NECO 7:2]G. Deco, D. ObradovicArticle1995-03-01
Learning Linear Threshold Approximations Using Perceptrons [NECO 7:2]Tom BylanderArticle1995-03-01
An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: ... [NECO 7:2]Guillaume DeffuantArticle1995-03-01
Learning Population Codes by Minimizing Description Length [NECO 7:3]Richard S. Zemel, Geoffrey E. HintonArticle1995-05-01
Adaptive Voting Rules for k-Nearest Neighbors Classifiers [NECO 7:3]R. Rovatti, R. Ragazzoni, Zs. M. Kovàcs, R. GuerrieriArticle1995-05-01
Regularization in the Selection of Radial Basis Function Centers [NECO 7:3]Mark J. L. OrrArticle1995-05-01
Hints [NECO 7:4]Yaser S. Abu-MostafaArticle1995-07-01
Stable Adaptive Control of Robot Manipulators Using “Neural” Networks [NECO 7:4]Robert M. Sanner, Jean-Jacques E. SlotineArticle1995-07-01
Error Estimation by Series Association for Neural Network Systems [NECO 7:4]Keehoon Kim, Eric B. BartlettArticle1995-07-01
Dynamic Cell Structure Learns Perfectly Topology Preserving Map [NECO 7:4]Jörg Bruske, Gerald SommerArticle1995-07-01
Learning the Initial State of a Second-Order Recurrent Neural Network during Reg... [NECO 7:5]Mikel L. Forcada, Rafael C. CarrascoArticle1995-09-01
Local and Global Optimization Algorithms for Generalized Learning Automata [NECO 7:5]V. V. Phansalkar, M. A. L. ThathacharArticle1995-09-01
Agnostic PAC Learning of Functions on Analog Neural Nets [NECO 7:5]Wolfgang MaassArticle1995-09-01
Self-Organization as an Iterative Kernel Smoothing Process [NECO 7:6]Filip Mulier, Vladimir CherkasskyArticle1995-11-01

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