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Learning Theory

5312 directly classified papers

Papers per year

Papers

Multiclass Boosting for Weak Classifiers JMLR 2005
Learning from Examples as an Inverse Problem JMLR 2005
Generalization Bounds for the Area Under the ROC Curve JMLR 2005
Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005
Tutorial on Practical Prediction Theory for Classification JMLR 2005
Stability of Randomized Learning Algorithms JMLR 2005
New Horn Revision Algorithms JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005
Concentration Bounds for Unigram Language Models JMLR 2005
Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005
Algorithmic Stability and Meta-Learning JMLR 2005
Learning with Decision Lists of Data-Dependent Features JMLR 2005
Online Choice of Active Learning Algorithms JMLR 2004
No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem JMLR 2004
The Minimum Error Minimax Probability Machine JMLR 2004
Some Dichotomy Theorems for Neural Learning Problems JMLR 2004
Preference Elicitation and Query Learning JMLR 2004
A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004
Computable Shell Decomposition Bounds JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004
A Compression Approach to Support Vector Model Selection JMLR 2004