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15,803 papers

Papers per year

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Papers

A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005
Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005
Fast Kernel Classifiers with Online and Active Learning JMLR 2005
Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
Combining Information Extraction Systems Using Voting and Stacked Generalization JMLR 2005
Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005
Change Point Problems in Linear Dynamical Systems JMLR 2005
Asymptotics in Empirical Risk Minimization JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
In Defense of One-Vs-All Classification JMLR 2004
Lossless Online Bayesian Bagging JMLR 2004
Subgroup Discovery with CN2-SD JMLR 2004
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
A Compression Approach to Support Vector Model Selection JMLR 2004
Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004
Sources of Success for Boosted Wrapper Induction JMLR 2004
A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004
Distance-Based Classification with Lipschitz Functions JMLR 2004
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004
Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004
Probability Estimates for Multi-class Classification by Pairwise Coupling JMLR 2004
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004
Rational Kernels: Theory and Algorithms JMLR 2004