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Supervised Learning

989 papers

Papers per year

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120
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Papers

Learning the Kernel Function via Regularization JMLR 2005
Randomized Variable Elimination JMLR 2004
Second Order Cone Programming Formulations for Feature Selection JMLR 2004
Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004
An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming JMLR 2003
ILP: A Short Look Back and a Longer Look Forward JMLR 2003
Relational Learning as Search in a Critical Region JMLR 2003
Bayes Point Machines JMLR 2001
A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001
A New Approximate Maximal Margin Classification Algorithm JMLR 2001