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TitleAuthorContent TypePub Datesort descending
Genetic Algorithms and Artificial Life [ARTL 1:3]Melanie Mitchell, Stephanie ForrestArticle1994-04-01
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
Computational Learning Theory and Natural Learning Systems, Volume 2Stephen José Hanson, Michael J. Kearns, Thomas Petsche, Ronald L. RivestBook1994-06-29
Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in ... [ARTL 1:4]Demetri Terzopoulos, Xiaoyuan Tu, Radek GrzeszczukArticle1994-07-01
Evolving Visual Routines [ARTL 1:4]Michael Patrick Johnson, Pattie Maes, Trevor DarrellArticle1994-07-01
Genetic Programming II: Automatic Discovery of Reusable Programs. [ARTL 1:4]Una-May O'ReillyArticle1994-07-01
From Animals to Animats 3David Cliff, Phil Husbands, Jean-Arcady Meyer, Stewart W. WilsonBook1994-07-27
Memory Exploitation in Learning Classifier Systems [EVCO 2:3]Robert E. SmithArticle1994-09-01
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
Artificial Life IVRodney A. Brooks, Pattie MaesBook1994-09-13
Selection for Wandering Behavior in a Small Robot [ARTL 2:1]Orazio Miglino, Kourosh Nafasi, Charles E. TaylorArticle1994-10-01
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
Dialogues on PerceptionBela JuleszBook1994-11-17
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
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
Cognition in the WildEdwin HutchinsBook1995-02-10
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
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
Introduction to Neural Networks, AnJames A. AndersonBook1995-03-16
Computational Learning Theory and Natural Learning Systems, Volume 3Thomas Petsche, Stephen José Hanson, Jude ShavlikBook1995-04-27
Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Netw... [NECO 7:3]William G. Baxt, Halbert WhiteArticle1995-05-01
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
Classifier Fitness Based on Accuracy [EVCO 3:2]Stewart W. WilsonArticle1995-06-01
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
Philosophy and AIRobert Cummins, John L. PollockBook1995-08-28
Goal-Driven LearningAshwin Ram, David LeakeBook1995-08-30
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
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

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