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TitleAuthorsort descendingContent TypePub Date
Graphical Models for Machine Learning and Digital CommunicationBrendan J. FreyBook1998-06-26
Introducing Asymmetry into Interneuron Learning [NECO 7:6]Colin FyfeArticle1995-11-01
Neural Network Learning and Expert SystemsStephen I. GallantBook1991-10-17
A Connectionist Computational Model for Epistemic and Temporal Reasoning [NECO 18:7]Artur S. d'Avila Garcez, Luís C. LambArticle2006-07-01
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network [NECO 6:5]Jean-Dominique Gascuel, Bahram Moobed, Michel WeinfeldArticle1994-09-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Spectral Algorithms for Supervised Learning [NECO 20:7]L. Lo Gerfo, L. Rosasco, F. Odone, E. De Vito, A. VerriArticle2008-07-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neura... [NECO 19:4]Su Lee Goh, Danilo P. MandicArticle2007-04-01
The Role of Weight Normalization in Competitive Learning [NECO 6:2]Geoffrey J. Goodhill, Harry G. BarrowArticle1994-03-01
Comparison of Some Neural Network and Scattered Data Approximations: The Inverse... [NECO 6:3]Dimitry Gorinevsky, Thomas H. ConnollyArticle1994-05-01
Neural Networks and Natural IntelligenceStephen GrossbergBook1992-04-22
Elman Backpropagation as Reinforcement for Simple Recurrent Networks [NECO 19:11]André GrüningArticle2007-11-01
Computational Learning Theory and Natural Learning Systems, Volume 2Stephen José Hanson, Michael J. Kearns, Thomas Petsche, Ronald L. RivestBook1994-06-29
Global NetworksLinda M. HarasimBook1993-08-02
Design of Animal Communication, TheMarc D. Hauser, Mark KonishiBook2003-03-01
A Maximum Entropy Model of Phonotactics and Phonotactic Learning [LING 39:3]Bruce Hayes, Colin WilsonArticle2008-07-01
Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space [NECO 1:1]Geoffrey E. HintonArticle1989-03-01
The Bootstrap Widrow–Hoff Rule as a Cluster-Formation Algorithm [NECO 2:3]Geoffrey E. Hinton, Steven J. NowlanArticle1990-09-01
Signals and BoundariesJohn H. HollandBook2012-08-31
Adaptation in Natural and Artificial SystemsJohn H. HollandBook1992-04-29
InductionJohn H. Holland, Keith J. Holyoak, Richard E. Nisbett, Paul ThagardBook1989-03-03
The Effects of Precision Constraints in a Backpropagation Learning Network [NECO 2:3]Paul W. Hollis, John S. Harper, John J. PaulosArticle1990-09-01
Connectionism and the Philosophy of PsychologyTerence E. Horgan, John TiensonBook1996-05-17
Systems, Experts, and ComputersAgatha C. Hughes, Thomas P. HughesBook2000-08-07
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum E... [NECO 5:6]Marc M. Van Hulle, Dominique MartinezArticle1993-11-01
Systems That Learn, Second EditionSanjay Jain, Daniel N. Osherson, James S. Royer, Arun SharmaBook1999-02-12
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
A Function Estimation Approach to Sequential Learning with Neural Networks [NECO 5:6]Visakan Kadirkamanathan, Mahesan NiranjanArticle1993-11-01
Activation Functions, Computational Goals, and Learning Rules for Local Processo... [NECO 9:4]Jim Kay, W. A. PhillipsArticle1997-05-01
Optimal Network Construction by Minimum Description Length [NECO 5:2]Gary D. Kendall, Trevor J. HallArticle1993-03-01
Production System Models of Learning and DevelopmentDavid Klahr, Patrick W. Langley, Robert T. NechesBook1987-01-26
General Cardinality Genetic Algorithms [EVCO 5:4]Gary J. Koehler, Siddhartha Bhattacharyya, Michael D. VoseArticle1997-12-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01
Rule Fitness and Pathology in Learning Classifier Systems [EVCO 12:1]Tim KovacsArticle2004-01-01
Strategic Negotiation in Multiagent EnvironmentsSarit KrausBook2001-09-01
A Convergence Result for Learning in Recurrent Neural Networks [NECO 6:3]Chung-Ming Kuan, Kurt Hornik, Halbert WhiteArticle1994-05-01
Knowledge, Concepts, and CategoriesKoen Lamberts, David ShanksBook1997-10-31
A Nonlinear Hebbian Network that Learns to Detect Disparity in Random-Dot Stereo... [NECO 8:3]Christopher W. Lee, Bruno A. OlshausenArticle1996-04-01
Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Networks [NECO 9:5]Jeong-Woo Lee, Jun-Ho OhArticle1997-07-01
Optimality-Theoretic SyntaxGéraldine Legendre, Jane Grimshaw, Sten ViknerBook2001-04-02
Embodied Music Cognition and Mediation TechnologyMarc LemanBook2007-09-18
2-Degree-of-freedom Robot Path Planning using Cooperative Neural Fields [NECO 3:3]Michael LemmonArticle1991-09-01
Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter Syst... [NECO 4:3]Reiner Lenz, Mats ÖsterbergArticle1992-05-01
Foundations of Cognitive PsychologyDaniel J. LevitinBook2002-09-09
How to Generate Ordered Maps by Maximizing the Mutual Information between Input ... [NECO 1:3]Ralph LinskerArticle1989-09-01
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear... [NECO 4:5]Ralph LinskerArticle1992-09-01
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear F... [NECO 3:2]Zhi-Quan LuoArticle1991-06-01
Agnostic PAC Learning of Functions on Analog Neural Nets [NECO 7:5]Wolfgang MaassArticle1995-09-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01

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