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TitleAuthorContent TypePub Datesort descending
A Multiple-Map Model for Pattern Classification [NECO 1:1]Alan Rojer, Eric SchwartzArticle1989-03-01
A Possible Neural Mechanism for Computing Shape From Shading [NECO 1:2]Alex PentlandArticle1989-06-01
Finding Minimum Entropy Codes [NECO 1:3]H.B. Barlow, T.P. Kaushal, G.J. MitchisonArticle1989-09-01
Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other ... [NECO 1:4]E. K. BlumArticle1989-12-01
Backpropagation Applied to Handwritten Zip Code Recognition [NECO 1:4]Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. JackelArticle1989-12-01
NeurocomputingJames A. Anderson, Edward RosenfeldBook1989-12-18
A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy [NECO 2:2]Reza Shadmehr, David Z. D'ArgenioArticle1990-06-01
About TimeWilliam FriedmanBook1990-09-01
How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4]Leonid KruglyakArticle1990-12-01
Representation and RealityHilary PutnamBook1991-08-28
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities [NECO 3:4]Michael D. Richard, Richard P. LippmannArticle1991-12-01
Bayesian Interpolation [NECO 4:3]David J. C. MacKayArticle1992-05-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Information-Based Objective Functions for Active Data Selection [NECO 4:4]David J. C. MacKayArticle1992-07-01
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron [NECO 4:4]Chris BishopArticle1992-07-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
The Evidence Framework Applied to Classification Networks [NECO 4:5]David J. C. MacKayArticle1992-09-01
Rule-Based Neural Networks for Classification and Probability Estimation [NECO 4:6]Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic SmythArticle1992-11-01
Asymmetric Parallel Boltzmann Machines are Belief Networks [NECO 4:6]Radford M. NealArticle1992-11-01
Factoring Networks by a Statistical Method [NECO 4:6]Nelson Morgan, Hervé BourlardArticle1992-11-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Optimal Network Construction by Minimum Description Length [NECO 5:2]Gary D. Kendall, Trevor J. HallArticle1993-03-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
From Animals to Animats 2Jean-Arcady Meyer, Herbert L. Roitblat, Stewart W. WilsonBook1993-04-13
Discovering Predictable Classifications [NECO 5:4]Jürgen Schmidhuber, Daniel PrelingerArticle1993-07-01
Readings in Philosophy and Cognitive ScienceAlvin I. GoldmanBook1993-11-19
Statistical Physics, Mixtures of Distributions, and the EM Algorithm [NECO 6:2]Alan L. Yuille, Paul Stolorz, Joachim UtansArticle1994-03-01
Computational Learning Theory and Natural Learning Systems, Volume 2Stephen José Hanson, Michael J. Kearns, Thomas Petsche, Ronald L. RivestBook1994-06-29
A Bayesian Analysis of Self-Organizing Maps [NECO 6:5]Stephen P. LuttrellArticle1994-09-01
Bayesian Modeling and Classification of Neural Signals [NECO 6:5]Michael S. LewickiArticle1994-09-01
Pruning from Adaptive Regularization [NECO 6:6]Lars Kai Hansen, Carl Edward RasmussenArticle1994-11-01
Evolving Compare-Exchange Networks Using Grammars [ARTL 2:2]Thomas E. Kammeyer, Richard K. Belew, S. Gill WilliamsonArticle1995-01-01
Bayesian Regularization and Pruning Using a Laplace Prior [NECO 7:1]Peter M. WilliamsArticle1995-01-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
White Queen Psychology and Other Essays for AliceRuth Garrett MillikanBook1995-03-02
Computational Learning Theory and Natural Learning Systems, Volume 3Thomas Petsche, Stephen José Hanson, Jude ShavlikBook1995-04-27
Bayesian Self-Organization Driven by Prior Probability Distributions [NECO 7:3]Alan L. Yuille, Stelios M. Smirnakis, Lei XuArticle1995-05-01
Philosophy and AIRobert Cummins, John L. PollockBook1995-08-28
Methods For Combining Experts' Probability Assessments [NECO 7:5]Robert A. JacobsArticle1995-09-01
On the Practical Applicability of VC Dimension Bounds [NECO 7:6]Sean B. Holden, Mahesan NiranjanArticle1995-11-01
A Recurrent Network Implementation of Time Series Classification [NECO 8:2]Vassilios Petridis, Athanasios KehagiasArticle1996-02-01
An Evolutionary Computing Approach to Probabilistic Reasoning on Bayesian Networ... [EVCO 4:1]Carlos Rojas-Guzmán, Mark A. KramerArticle1996-03-01
Editorial Introduction [EVCO 4:1]Article1996-03-01
Attention and Performance XVIInui Toshio, James L. McClellandBook1996-04-24
Models of Bounded Rationality, Volume 3Herbert A. SimonBook1997-06-27
On Bias Plus Variance [NECO 9:6]David H. WolpertArticle1997-08-01
Adaptive Mixtures of Probabilistic Transducers [NECO 9:8]Yoram SingerArticle1997-11-01
Graphical Models for Machine Learning and Digital CommunicationBrendan J. FreyBook1998-06-26
Nature of Cognition, TheRobert J. SternbergBook1998-11-20
Advances in Kernel MethodsChristopher J.C. Burges, Bernhard Schölkopf, Alexander J. SmolaBook1998-12-17

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