Classification

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002 Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002 Text Chunking based on a Generalization of Winnow JMLR 2002 Text Classification using String Kernels JMLR 2002 The Set Covering Machine JMLR 2002 Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002 A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001 A New Approximate Maximal Margin Classification Algorithm JMLR 2001 Bayes Point Machines JMLR 2001 Class-Based Probability Estimation Using a Semantic Hierarchy NAACL 2001 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001 Exact Simplification of Support Vector Solutions JMLR 2001 Lagrangian Support Vector Machines JMLR 2001 One-Class SVMs for Document Classification JMLR 2001 On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001 On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001 Support Vector Clustering JMLR 2001 Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001 Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001 Learning with Mixtures of Trees JMLR 2000 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000