Results 1 - 21 of 21
Results per Page:
Titlesort descendingAuthorContent TypePub Date
Bayesian Interpolation [NECO 4:3]David J. C. MacKayArticle1992-05-01
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics [NECO 20:3]Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard MadsenArticle2008-03-01
The Bootstrap Widrow–Hoff Rule as a Cluster-Formation Algorithm [NECO 2:3]Geoffrey E. Hinton, Steven J. NowlanArticle1990-09-01
Clustering Data by Melting [NECO 5:1]Yiu-fai WongArticle1993-01-01
Discovering Predictable Classifications [NECO 5:4]Jürgen Schmidhuber, Daniel PrelingerArticle1993-07-01
Estimating Information Rates with Confidence Intervals in Neural Spike Trains [NECO 19:7]Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. ChichilniskyArticle2007-07-01
The Evidence Framework Applied to Classification Networks [NECO 4:5]David J. C. MacKayArticle1992-09-01
Evolution of Cooperation, Differentiation, Complexity, and Diversity in an Itera... [ARTL 2:3]Eizo Akiyama, Kunihiko KanekoArticle1995-04-01
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposal... [EVCO 17:3]Salvador García, Francisco HerreraArticle2009-09-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Information-Based Objective Functions for Active Data Selection [NECO 4:4]David J. C. MacKayArticle1992-07-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
Maximum Entropy and Learning Theory [NECO 4:6]Griff L. Bilbro, David E. Van den BoutArticle1992-11-01
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities [NECO 3:4]Michael D. Richard, Richard P. LippmannArticle1991-12-01
On Learning Perceptrons with Binary Weights [NECO 5:5]Mostefa Golea, Mario MarchandArticle1993-09-01
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Re... [NECO 18:11]Wenxin JiangArticle2006-11-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Recursive Finite Newton Algorithm for Support Vector Regression in the Primal [NECO 19:4]Liefeng Bo, Ling Wang, Licheng JiaoArticle2007-04-01
Redundancy Reduction as a Strategy for Unsupervised Learning [NECO 5:2]A. Norman RedlichArticle1993-03-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
Second-Order SMO Improves SVM Online and Active Learning [NECO 20:2]Tobias Glasmachers, Christian IgelArticle2008-02-01