Results 201 - 250 of 367
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TitleAuthorContent TypePub Datesort ascending
Balancing Act, TheJudith L. Klavans, Philip ResnikBook1996-12-06
Elements of Artificial Neural NetworksKishan Mehrotra, Chilukuri Mohan, Sanjay RankaBook1996-10-11
Foundations of Neural Networks, Fuzzy Systems, and Knowledge EngineeringNikola KasabovBook1996-10-11
Using Learning to Facilitate the Evolution of Features for Recognizing Visual Co... [EVCO 4:3]J. Bala, K. De Jong, J. Huang, H. Vafaie, H. WechslerArticle1996-09-01
Modeling the Evolution of Motivation [EVCO 4:3]John Batali, William Noble GrundyArticle1996-09-01
How to Shift Bias: Lessons from the Baldwin Effect [EVCO 4:3]Peter TurneyArticle1996-09-01
Moths to the FlameGregory J. E. RawlinsBook1996-08-01
Genetic Programming 1996John R. Koza, David E. Goldberg, David B. Fogel, Rick L. RioloBook1996-07-08
Connectionism and the Philosophy of PsychologyTerence E. Horgan, John TiensonBook1996-05-17
Electronic Forums and Other EC-Related Activities [EVCO 4:1]Article1996-03-01
Editorial Introduction [EVCO 4:1]Article1996-03-01
Neural Network Models of Perceptual Learning of Angle Discrimination [NECO 8:2]G. Mato, H. SompolinskyArticle1996-02-01
Directional Filling-in [NECO 8:2]Karl Frederick ArringtonArticle1996-02-01
Classroom LessonsKate McGillyBook1996-01-31
On Convergence Properties of the EM Algorithm for Gaussian Mixtures [NECO 8:1]Lei Xu, Michael I. JordanArticle1996-01-01
Does Extra Knowledge Necessarily Improve Generalization? [NECO 8:1]David Barber, David SaadArticle1996-01-01
Sorting with Self-Organizing Maps [NECO 7:6]Marco BudinichArticle1995-11-01
On the Practical Applicability of VC Dimension Bounds [NECO 7:6]Sean B. Holden, Mahesan NiranjanArticle1995-11-01
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition [NECO 7:6]Yoshua Bengio, Yann LeCun, Craig Nohl, Chris BurgesArticle1995-11-01
The Helmholtz Machine [NECO 7:5]Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. ZemelArticle1995-09-01
Local and Global Optimization Algorithms for Generalized Learning Automata [NECO 7:5]V. V. Phansalkar, M. A. L. ThathacharArticle1995-09-01
Learning and Generalization in Radial Basis Function Networks [NECO 7:5]J. A. S. Freeman, D. SaadArticle1995-09-01
Goal-Driven LearningAshwin Ram, David LeakeBook1995-08-30
Philosophy and AIRobert Cummins, John L. PollockBook1995-08-28
Hints [NECO 7:4]Yaser S. Abu-MostafaArticle1995-07-01
Test Error Fluctuations in Finite Linear Perceptrons [NECO 7:4]D. Barber, D. Saad, P. SollichArticle1995-07-01
Dynamic Cell Structure Learns Perfectly Topology Preserving Map [NECO 7:4]Jörg Bruske, Gerald SommerArticle1995-07-01
Classifier Fitness Based on Accuracy [EVCO 3:2]Stewart W. WilsonArticle1995-06-01
Competition and Multiple Cause Models [NECO 7:3]Peter Dayan, Richard S. ZemelArticle1995-05-01
Regularization in the Selection of Radial Basis Function Centers [NECO 7:3]Mark J. L. OrrArticle1995-05-01
Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Netw... [NECO 7:3]William G. Baxt, Halbert WhiteArticle1995-05-01
Computational Learning Theory and Natural Learning Systems, Volume 3Thomas Petsche, Stephen José Hanson, Jude ShavlikBook1995-04-27
Introduction to Neural Networks, AnJames A. AndersonBook1995-03-16
Electronic Forums and Other EC-Related Activities [EVCO 3:1]Article1995-03-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
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
Balancing Accuracy and Parsimony in Genetic Programming [EVCO 3:1]Byoung-Tak Zhang, Heinz MühlenbeinArticle1995-03-01
An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: ... [NECO 7:2]Guillaume DeffuantArticle1995-03-01
Cognition in the WildEdwin HutchinsBook1995-02-10
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
Semi-Algebraic Networks: An Attempt to Design Geometric Autopoietic Models [ARTL 2:2]Guillaume Deffuant, Thierry Fuhs, Etienne Monneret, Paul Bourgine, Francisco VarelaArticle1995-01-01
Convergence Theorems for Hybrid Learning Rules [NECO 7:1]Michel BenaimArticle1995-01-01
Dialogues on PerceptionBela JuleszBook1994-11-17
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

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