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Titlesort descendingAuthorContent TypePub Date
Faster Learning for Dynamic Recurrent Backpropagation [NECO 2:3]Yan Fang, Terrence J. SejnowskiArticle1990-09-01
Foundations of Cognitive PsychologyDaniel J. LevitinBook2002-09-09
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
From Animals to Animats 2Jean-Arcady Meyer, Herbert L. Roitblat, Stewart W. WilsonBook1993-04-13
From Animals to Animats 3David Cliff, Phil Husbands, Jean-Arcady Meyer, Stewart W. WilsonBook1994-07-27
A Function Estimation Approach to Sequential Learning with Neural Networks [NECO 5:6]Visakan Kadirkamanathan, Mahesan NiranjanArticle1993-11-01
General Cardinality Genetic Algorithms [EVCO 5:4]Gary J. Koehler, Siddhartha Bhattacharyya, Michael D. VoseArticle1997-12-01
Genetic and Non-Genetic Operators in ALECSYS [EVCO 1:2]Marco DorigoArticle1993-06-01
Genetic Programming II: Automatic Discovery of Reusable Programs. [ARTL 1:4]Una-May O'ReillyArticle1994-07-01
Global NetworksLinda M. HarasimBook1993-08-02
Goal-Driven LearningAshwin Ram, David LeakeBook1995-08-30
Graphical Models for Machine Learning and Digital CommunicationBrendan J. FreyBook1998-06-26
Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold O... [NECO 2:4]Mark J. BradyArticle1990-12-01
HAL's LegacyDaniel C. Dennett, Ravi Iyer, David Kuck, Raymond Kurzweil, Doug Lenat, Joseph Olive, Rosalind W. Picard, Azriel Rosenfeld, Roger Schank, David G. Stork, David WilkinsBook1998-02-06
The Handbook of Brain Theory and Neural Networks, Second EditionMichael A. ArbibReference Work2002
Hierarchical, Unsupervised Learning with Growing via Phase Transitions [NECO 8:2]David Miller, Kenneth RoseArticle1996-02-01
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2]David Cohn, Gerald TesauroArticle1992-03-01
How to Generate Ordered Maps by Maximizing the Mutual Information between Input ... [NECO 1:3]Ralph LinskerArticle1989-09-01
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acqu... [NECO 4:6]H. M. Wabgaonkar, A. R. StubberudArticle1992-11-01
Human Semantic Potential, TheTerry RegierBook1996-09-01
Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Networks [NECO 9:5]Jeong-Woo Lee, Jun-Ho OhArticle1997-07-01
Imitation as a Mechanism of Cultural Transmission [ARTL 16:1]Chris Marriott, James Parker, Jörg DenzingerArticle2010-01-01
Imitation in Animals and ArtifactsKerstin Dautenhahn, Chrystopher L. NehanivBook2002-05-21
InductionJohn H. Holland, Keith J. Holyoak, Richard E. Nisbett, Paul ThagardBook1989-03-03
Induction of Finite-State Languages Using Second-Order Recurrent Networks [NECO 4:3]Raymond L. Watrous, Gary M. KuhnArticle1992-05-01
The Interchangeability of Learning Rate and Gain in Backpropagation Neural Netwo... [NECO 8:2]Georg Thimm, Perry Moerland, Emile FieslerArticle1996-02-01
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network [NECO 6:5]Jean-Dominique Gascuel, Bahram Moobed, Michel WeinfeldArticle1994-09-01
Introducing Asymmetry into Interneuron Learning [NECO 7:6]Colin FyfeArticle1995-11-01
Introduction to Fuzzy Sets, AnWitold Pedrycz, Fernando GomideBook1998-04-10
Introduction to the Special Issue [EVCO 2:1]Article1994-03-01
Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1]Robert E. Smith, H. Brown Cribbs IIIArticle1994-03-01
Knowledge in ActionRaymond ReiterBook2001-09-01
Knowledge, Concepts, and CategoriesKoen Lamberts, David ShanksBook1997-10-31
Knowledge-Based NeurocomputingIan Cloete, J M. ZuradaBook2000-02-25
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks [NECO 1:2]Ronald J. Williams, David ZipserArticle1989-06-01
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Mod... [NECO 7:4]Peter Tiňo, Jozef ŠajdaArticle1995-07-01
Learning and Generalization in Radial Basis Function Networks [NECO 7:5]J. A. S. Freeman, D. SaadArticle1995-09-01
Learning and Generalization with Minimerror, A Temperature-Dependent Learning Al... [NECO 7:6]Bruno Raffin, Mirta B. GordonArticle1995-11-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Learning Factorial Codes by Predictability Minimization [NECO 4:6]Jürgen SchmidhuberArticle1992-11-01
Learning in Neural Networks with Material Synapses [NECO 6:5]Daniel J. Amit, Stefano FusiArticle1994-09-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Learning Population Codes by Minimizing Description Length [NECO 7:3]Richard S. Zemel, Geoffrey E. HintonArticle1995-05-01
Learning the Initial State of a Second-Order Recurrent Neural Network during Reg... [NECO 7:5]Mikel L. Forcada, Rafael C. CarrascoArticle1995-09-01
Learning the Lie Groups of Visual Invariance [NECO 19:10]Xu Miao, Rajesh P. N. RaoArticle2007-10-01
Learning the Unlearnable [NECO 3:4]Dan Nabutovsky, Eytan DomanyArticle1991-12-01
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Ne... [NECO 4:1]Jürgen SchmidhuberArticle1992-01-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01

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