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Classification

15,805 papers

Papers per year

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Papers

Multiclass Learnability and the ERM principle COLT 2011
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
On the Consistency of Multi-Label Learning COLT 2011
A Close Look to Margin Complexity and Related Parameters COLT 2011
The Rate of Convergence of Adaboost COLT 2011
Neyman-Pearson classification under a strict constraint COLT 2011
Sequential Event Prediction with Association Rules COLT 2011
Improved Moves for Truncated Convex Models JMLR 2011
Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011
Training SVMs Without Offset JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Information, Divergence and Risk for Binary Experiments JMLR 2011
-Norm Multiple Kernel Learning JMLR 2011
Learning from Partial Labels JMLR 2011
Double Updating Online Learning JMLR 2011
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets JMLR 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Multiple Kernel Learning Algorithms JMLR 2011
MSVMpack: A Multi-Class Support Vector Machine Package JMLR 2011
MULAN: A Java Library for Multi-Label Learning JMLR 2011
LPmade: Link Prediction Made Easy JMLR 2011
Bayesian Co-Training JMLR 2011
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011
Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011