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Classification

15289 directly classified papers

Papers per year

Papers

Large Margin Component Analysis NIPS 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Chained Boosting NIPS 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006
Incremental Algorithms for Hierarchical Classification JMLR 2006
Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006
AdaBoost is Consistent NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
Learning Minimum Volume Sets JMLR 2006
Some Theory for Generalized Boosting Algorithms JMLR 2006
Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006
Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
A Classification Framework for Anomaly Detection JMLR 2005
Combining Information Extraction Systems Using Voting and Stacked Generalization JMLR 2005
Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005
Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005
Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005