Faster Learning for Dynamic Recurrent Backpropagation [NECO 2:3] | Yan Fang, Terrence J. Sejnowski | Article | 1990-09-01 |
Foundations of Cognitive Psychology | Daniel J. Levitin | Book | 2002-09-09 |
Four Types of Learning Curves [NECO 4:4] | Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto | Article | 1992-07-01 |
From Animals to Animats 2 | Jean-Arcady Meyer, Herbert L. Roitblat, Stewart W. Wilson | Book | 1993-04-13 |
From Animals to Animats 3 | David Cliff, Phil Husbands, Jean-Arcady Meyer, Stewart W. Wilson | Book | 1994-07-27 |
A Function Estimation Approach to Sequential Learning with Neural Networks [NECO 5:6] | Visakan Kadirkamanathan, Mahesan Niranjan | Article | 1993-11-01 |
General Cardinality Genetic Algorithms [EVCO 5:4] | Gary J. Koehler, Siddhartha Bhattacharyya, Michael D. Vose | Article | 1997-12-01 |
Genetic and Non-Genetic Operators in ALECSYS [EVCO 1:2] | Marco Dorigo | Article | 1993-06-01 |
Genetic Programming II: Automatic Discovery of Reusable Programs. [ARTL 1:4] | Una-May O'Reilly | Article | 1994-07-01 |
Global Networks | Linda M. Harasim | Book | 1993-08-02 |
Goal-Driven Learning | Ashwin Ram, David Leake | Book | 1995-08-30 |
Graphical Models for Machine Learning and Digital Communication | Brendan J. Frey | Book | 1998-06-26 |
Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold O... [NECO 2:4] | Mark J. Brady | Article | 1990-12-01 |
HAL's Legacy | Daniel C. Dennett, Ravi Iyer, David Kuck, Raymond Kurzweil, Doug Lenat, Joseph Olive, Rosalind W. Picard, Azriel Rosenfeld, Roger Schank, David G. Stork, David Wilkins | Book | 1998-02-06 |
The Handbook of Brain Theory and Neural Networks, Second Edition | Michael A. Arbib | Reference Work | 2002 |
Hierarchical, Unsupervised Learning with Growing via Phase Transitions [NECO 8:2] | David Miller, Kenneth Rose | Article | 1996-02-01 |
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2] | David Cohn, Gerald Tesauro | Article | 1992-03-01 |
How to Generate Ordered Maps by Maximizing the Mutual Information between Input ... [NECO 1:3] | Ralph Linsker | Article | 1989-09-01 |
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acqu... [NECO 4:6] | H. M. Wabgaonkar, A. R. Stubberud | Article | 1992-11-01 |
Human Semantic Potential, The | Terry Regier | Book | 1996-09-01 |
Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Networks [NECO 9:5] | Jeong-Woo Lee, Jun-Ho Oh | Article | 1997-07-01 |
Imitation as a Mechanism of Cultural Transmission [ARTL 16:1] | Chris Marriott, James Parker, Jörg Denzinger | Article | 2010-01-01 |
Imitation in Animals and Artifacts | Kerstin Dautenhahn, Chrystopher L. Nehaniv | Book | 2002-05-21 |
Induction | John H. Holland, Keith J. Holyoak, Keith J. Holyoak, Richard E. Nisbett, Paul Thagard | Book | 1989-03-03 |
Induction of Finite-State Languages Using Second-Order Recurrent Networks [NECO 4:3] | Raymond L. Watrous, Gary M. Kuhn | Article | 1992-05-01 |
The Interchangeability of Learning Rate and Gain in Backpropagation Neural Netwo... [NECO 8:2] | Georg Thimm, Perry Moerland, Emile Fiesler | Article | 1996-02-01 |
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network [NECO 6:5] | Jean-Dominique Gascuel, Bahram Moobed, Michel Weinfeld | Article | 1994-09-01 |
Introducing Asymmetry into Interneuron Learning [NECO 7:6] | Colin Fyfe | Article | 1995-11-01 |
Introduction to Fuzzy Sets, An | Witold Pedrycz, Fernando Gomide | Book | 1998-04-10 |
Introduction to the Special Issue [EVCO 2:1] | | Article | 1994-03-01 |
Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1] | Robert E. Smith, H. Brown Cribbs III | Article | 1994-03-01 |
Knowledge in Action | Raymond Reiter | Book | 2001-09-01 |
Knowledge, Concepts, and Categories | Koen Lamberts, David Shanks | Book | 1997-10-31 |
Knowledge-Based Neurocomputing | Ian Cloete, J M. Zurada | Book | 2000-02-25 |
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks [NECO 1:2] | Ronald J. Williams, David Zipser | Article | 1989-06-01 |
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Mod... [NECO 7:4] | Peter Tino, Peter Tino, Jozef Šajda | Article | 1995-07-01 |
Learning and Generalization in Radial Basis Function Networks [NECO 7:5] | J. A. S. Freeman, D. Saad | Article | 1995-09-01 |
Learning and Generalization with Minimerror, A Temperature-Dependent Learning Al... [NECO 7:6] | Bruno Raffin, Mirta B. Gordon | Article | 1995-11-01 |
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2] | Jürgen Schmidhuber | Article | 1992-03-01 |
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5] | Y. Kabashima, S. Shinomoto | Article | 1992-09-01 |
Learning Factorial Codes by Predictability Minimization [NECO 4:6] | Jürgen Schmidhuber | Article | 1992-11-01 |
Learning in Neural Networks with Material Synapses [NECO 6:5] | Daniel J. Amit, Stefano Fusi | Article | 1994-09-01 |
Learning in the Recurrent Random Neural Network [NECO 5:1] | Erol Gelenbe | Article | 1993-01-01 |
Learning Mixture Models of Spatial Coherence [NECO 5:2] | Suzanna Becker, Geoffrey E. Hinton | Article | 1993-03-01 |
Learning Population Codes by Minimizing Description Length [NECO 7:3] | Richard S. Zemel, Geoffrey E. Hinton | Article | 1995-05-01 |
Learning the Initial State of a Second-Order Recurrent Neural Network during Reg... [NECO 7:5] | Mikel L. Forcada, Rafael C. Carrasco | Article | 1995-09-01 |
Learning the Lie Groups of Visual Invariance [NECO 19:10] | Xu Miao, Rajesh P. N. Rao | Article | 2007-10-01 |
Learning the Unlearnable [NECO 3:4] | Dan Nabutovsky, Eytan Domany | Article | 1991-12-01 |
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Ne... [NECO 4:1] | Jürgen Schmidhuber | Article | 1992-01-01 |
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5] | Wolfgang Konen, Christoph von der Malsburg | Article | 1993-09-01 |