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TitleAuthorContent Typesort descendingPub Date
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Refining PID Controllers Using Neural Networks [NECO 4:5]Gary M. Scott, Jude W. Shavlik, W. Harmon RayArticle1992-09-01
Learning Factorial Codes by Predictability Minimization [NECO 4:6]Jürgen SchmidhuberArticle1992-11-01
Local Learning Algorithms [NECO 4:6]Léon Bottou, Vladimir VapnikArticle1992-11-01
A "Thermal" Perceptron Learning Rule [NECO 4:6]Marcus FreanArticle1992-11-01
Index [NECO 4:6]Article1992-11-01
Convergent Algorithm for Sensory Receptive Field Development [NECO 5:1]Joseph J. Atick, A. Norman RedlichArticle1993-01-01
Complexity Optimized Data Clustering by Competitive Neural Networks [NECO 5:1]Joachim Buhmann, Hans KühnelArticle1993-01-01
Coarse Coding Resource-Allocating Network [NECO 5:1]Gustavo Deco, Jürgen EbmeyerArticle1993-01-01
Statistical Theory of Learning Curves under Entropic Loss Criterion [NECO 5:1]Shun-ichi Amari, Noboru MurataArticle1993-01-01
Optimal Network Construction by Minimum Description Length [NECO 5:2]Gary D. Kendall, Trevor J. HallArticle1993-03-01
Learning Competition and Cooperation [NECO 5:2]Sungzoon Cho, James A. ReggiaArticle1993-03-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Hints and the VC Dimension [NECO 5:2]Yaser S. Abu-MostafaArticle1993-03-01
Redundancy Reduction as a Strategy for Unsupervised Learning [NECO 5:2]A. Norman RedlichArticle1993-03-01
A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classific... [NECO 5:2]Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep GovilArticle1993-03-01
Vapnik-Chervonenkis Dimension Bounds for Two- and Three-Layer Networks [NECO 5:3]Peter L. BartlettArticle1993-05-01
Arbitrary Elastic Topologies and Ocular Dominance [NECO 5:3]Peter DayanArticle1993-05-01
Centered-Object Integrated Segmentation and Recognition of Overlapping Handprint... [NECO 5:3]Gale L. MartinArticle1993-05-01
The Characteristics of the Convergence Time of Associative Neural Networks [NECO 5:3]Toshiaki Tanaka, Miki YamadaArticle1993-05-01
Robustness in Multilayer Perceptrons [NECO 5:3]P. Kerlirzin, F. ValletArticle1993-05-01
Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling ... [NECO 5:3]Thorsteinn RögnvaldssonArticle1993-05-01
Improving Generalization for Temporal Difference Learning: The Successor Represe... [NECO 5:4]Peter DayanArticle1993-07-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01
Supervised Factorial Learning [NECO 5:5]A. Norman RedlichArticle1993-09-01
On Learning Perceptrons with Binary Weights [NECO 5:5]Mostefa Golea, Mario MarchandArticle1993-09-01
Local Algorithms for Pattern Recognition and Dependencies Estimation [NECO 5:6]V. Vapnik, L. BottouArticle1993-11-01
Learning Finite State Machines With Self-Clustering Recurrent Networks [NECO 5:6]Zheng Zeng, Rodney M. Goodman, Padhraic SmythArticle1993-11-01
Hierarchical Mixtures of Experts and the EM Algorithm [NECO 6:2]Michael I. Jordan, Robert A. JacobsArticle1994-03-01
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play [NECO 6:2]Gerald TesauroArticle1994-03-01
A Probabilistic Resource Allocating Network for Novelty Detection [NECO 6:2]Stephen Roberts, Lionel TarassenkoArticle1994-03-01
Smooth On-Line Learning Algorithms for Hidden Markov Models [NECO 6:2]Pierre Baldi, Yves ChauvinArticle1994-03-01
Statistical Physics, Mixtures of Distributions, and the EM Algorithm [NECO 6:2]Alan L. Yuille, Paul Stolorz, Joachim UtansArticle1994-03-01
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
Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised ... [NECO 6:3]J.-P. Nadal, N. PargaArticle1994-05-01
Loading Deep Networks Is Hard [NECO 6:5]Jiří ŠímaArticle1994-09-01
On Langevin Updating in Multilayer Perceptrons [NECO 6:5]Thorsteinn RögnvaldssonArticle1994-09-01
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
Boosting and Other Ensemble Methods [NECO 6:6]Harris Drucker, Corinna Cortes, L. D. Jackel, Yann LeCun, Vladimir VapnikArticle1994-11-01
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
A Multiple Cause Mixture Model for Unsupervised Learning [NECO 7:1]Eric SaundArticle1995-01-01
Similarity Metric Learning for a Variable-Kernel Classifier [NECO 7:1]David G. LoweArticle1995-01-01
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Sup... [NECO 7:1]G. Deco, W. Finnoff, H. G. ZimmermannArticle1995-01-01
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1]Yoshiyuki Kabashima, Shigeru ShinomotoArticle1995-01-01

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