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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005
Learning from Examples as an Inverse Problem JMLR 2005
Algorithmic Stability and Meta-Learning JMLR 2005
A Generalization Error for Q-Learning JMLR 2005
Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005
Concentration Bounds for Unigram Language Models JMLR 2005
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005
Maximum Margin Algorithms with Boolean Kernels JMLR 2005
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
New Horn Revision Algorithms JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
On the Importance of Small Coordinate Projections JMLR 2004
Online Choice of Active Learning Algorithms JMLR 2004
A Compression Approach to Support Vector Model Selection JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004
Computable Shell Decomposition Bounds JMLR 2004
A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem JMLR 2004
Preference Elicitation and Query Learning JMLR 2004
Some Dichotomy Theorems for Neural Learning Problems 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
Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004
Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004