Papers
Randomized Variable Elimination
David J. Stracuzzi, Paul E. Utgoff
Large-Sample Learning of Bayesian Networks is NP-Hard
David Maxwell Chickering, David Heckerman, Christopher Meek
The Minimum Error Minimax Probability Machine
Kaizhu Huang, Haiqin Yang, Irwin King et al.
Efficient Feature Selection via Analysis of Relevance and Redundancy
Lei Yu, Huan Liu
Model Averaging for Prediction with Discrete Bayesian Networks
Denver Dash, Gregory F. Cooper
Support Vector Machine Soft Margin Classifiers: Error Analysis
Di-Rong Chen, Qiang Wu, Yiming Ying et al.
Knowledge-Based Kernel Approximation
Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
Matti Kääriäinen, Tuomo Malinen, Tapio Elomaa
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio, Yves Grandvalet
Reinforcement Learning with Factored States and Actions
Brian Sallans, Geoffrey E. Hinton
Rational Kernels: Theory and Algorithms
Corinna Cortes, Patrick Haffner, Mehryar Mohri
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
Andreas Christmann, Ingo Steinwart
Probability Estimates for Multi-class Classification by Pairwise Coupling
Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng
Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu, Trevor Hastie
Image Categorization by Learning and Reasoning with Regions
Yixin Chen, James Z. Wang
Some Dichotomy Theorems for Neural Learning Problems
Michael Schmitt
Feature Selection for Unsupervised Learning
Jennifer G. Dy, Carla E. Brodley
Probability Product Kernels
Tony Jebara, Risi Kondor, Andrew Howard
Feature Discovery in Non-Metric Pairwise Data
Julian Laub, Klaus-Robert Müller
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Andreas Ziehe, Pavel Laskov, Guido Nolte et al.
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini, Thomas G. Dietterich
Hierarchical Latent Class Models for Cluster Analysis
Nevin L. Zhang
Distance-Based Classification with Lipschitz Functions
Ulrike von Luxburg, Olivier Bousquet
Preference Elicitation and Query Learning
Avrim Blum, Jeffrey Jackson, Tuomas Sandholm et al.