Sources of Success for Boosted Wrapper Induction.
Preference Elicitation and Query Learning.
Reinforcement Learning with Factored States and Actions.
Feature Discovery in Non-Metric Pairwise Data.
The Entire Regularization Path for the Support Vector Machine.
A Geometric Approach to Multi-Criterion Reinforcement Learning.
Support Vector Machine Soft Margin Classifiers: Error Analysis.
Learning Ensembles from Bites: A Scalable and Accurate Approach.
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.
Some Dichotomy Theorems for Neural Learning Problems.
Distance-Based Classification with Lipschitz Functions.
Large-Sample Learning of Bayesian Networks is NP-Hard.
PAC-learnability of Probabilistic Deterministic Finite State Automata.
Statistical Analysis of Some Multi-Category Large Margin Classification Methods.
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition.
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem.
Model Averaging for Prediction with Discrete Bayesian Networks.
Efficient Feature Selection via Analysis of Relevance and Redundancy.
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters.
Feature Selection for Unsupervised Learning.
A Universal Well-Calibrated Algorithm for On-line Classification.
Online Choice of Active Learning Algorithms.
Hierarchical Latent Class Models for Cluster Analysis.
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning.
Generalization Error Bounds for Threshold Decision Lists.
Learning the Kernel Matrix with Semidefinite Programming.
Subgroup Discovery with CN2-SD.
Boosting as a Regularized Path to a Maximum Margin Classifier.
Lossless Online Bayesian Bagging.
Fast String Kernels using Inexact Matching for Protein Sequences.
New Techniques for Disambiguation in Natural Language and Their Application to Biological Text.
Image Categorization by Learning and Reasoning with Regions.
On the Importance of Small Coordinate Projections.
Second Order Cone Programming Formulations for Feature Selection.
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.
Randomized Variable Elimination.
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins.
Some Properties of Regularized Kernel Methods
Non-negative Matrix Factorization with Sparseness Constraints.
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees.
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces.
No Unbiased Estimator of the Variance of K-Fold Cross-Validation.
The Minimum Error Minimax Probability Machine.
Fast Binary Feature Selection with Conditional Mutual Information.
Exact Bayesian Structure Discovery in Bayesian Networks.
Probability Product Kernels.
A Compression Approach to Support Vector Model Selection.
RCV1: A New Benchmark Collection for Text Categorization Research.
Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces.
Weather Data Mining Using Independent Component Analysis.
Computable Shell Decomposition Bounds.
Probability Estimates for Multi-class Classification by Pairwise Coupling.
Rational Kernels: Theory and Algorithms.
In Defense of One-Vs-All Classification.
Knowledge-Based Kernel Approximation.
