| Bayesian Interpolation [NECO 4:3] | David J. C. MacKay | Article | 1992-05-01 |
| Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics [NECO 20:3] | Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen | Article | 2008-03-01 |
| The Bootstrap Widrow–Hoff Rule as a Cluster-Formation Algorithm [NECO 2:3] | Geoffrey E. Hinton, Steven J. Nowlan | Article | 1990-09-01 |
| Clustering Data by Melting [NECO 5:1] | Yiu-fai Wong | Article | 1993-01-01 |
| Discovering Predictable Classifications [NECO 5:4] | Jürgen Schmidhuber, Daniel Prelinger | Article | 1993-07-01 |
| Estimating Information Rates with Confidence Intervals in Neural Spike Trains [NECO 19:7] | Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky, E. J. Chichilnisky | Article | 2007-07-01 |
| The Evidence Framework Applied to Classification Networks [NECO 4:5] | David J. C. MacKay | Article | 1992-09-01 |
| Evolution of Cooperation, Differentiation, Complexity, and Diversity in an Itera... [ARTL 2:3] | Eizo Akiyama, Kunihiko Kaneko | Article | 1995-04-01 |
| Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposal... [EVCO 17:3] | Salvador García, Francisco Herrera | Article | 2009-09-01 |
| Four Types of Learning Curves [NECO 4:4] | Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto | Article | 1992-07-01 |
| Information-Based Objective Functions for Active Data Selection [NECO 4:4] | David J. C. MacKay | Article | 1992-07-01 |
| Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2] | Jürgen Schmidhuber | Article | 1992-03-01 |
| Maximum Entropy and Learning Theory [NECO 4:6] | Griff L. Bilbro, David E. Van den Bout | Article | 1992-11-01 |
| Neural Network Classifiers Estimate Bayesian a posteriori Probabilities [NECO 3:4] | Michael D. Richard, Richard P. Lippmann | Article | 1991-12-01 |
| On Learning Perceptrons with Binary Weights [NECO 5:5] | Mostefa Golea, Mario Marchand | Article | 1993-09-01 |
| On the Consistency of Bayesian Variable Selection for High Dimensional Binary Re... [NECO 18:11] | Wenxin Jiang | Article | 2006-11-01 |
| A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3] | David J. C. MacKay | Article | 1992-05-01 |
| Recursive Finite Newton Algorithm for Support Vector Regression in the Primal [NECO 19:4] | Liefeng Bo, Ling Wang, | Article | 2007-04-01 |
| Redundancy Reduction as a Strategy for Unsupervised Learning [NECO 5:2] | A. Norman Redlich | Article | 1993-03-01 |
| Regularization Theory and Neural Networks Architectures [NECO 7:2] | Federico Girosi, Michael Jones, Tomaso Poggio | Article | 1995-03-01 |
| Second-Order SMO Improves SVM Online and Active Learning [NECO 20:2] | Tobias Glasmachers, Christian Igel | Article | 2008-02-01 |
