Classification

Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006 A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005 A Classification Framework for Anomaly Detection JMLR 2005 Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005 Active Learning to Recognize Multiple Types of Plankton JMLR 2005 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Asymptotics in Empirical Risk Minimization JMLR 2005 Change Point Problems in Linear Dynamical Systems JMLR 2005 Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems JMLR 2005 Combining Information Extraction Systems Using Voting and Stacked Generalization JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Dimension Reduction in Text Classification with Support Vector Machines JMLR 2005 Efficient Margin Maximizing with Boosting JMLR 2005 Fast Kernel Classifiers with Online and Active Learning JMLR 2005 Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005 Generalization Bounds for the Area Under the ROC Curve JMLR 2005 Inner Product Spaces for Bayesian Networks JMLR 2005 Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005 Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 Learning with Decision Lists of Data-Dependent Features JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 Multiclass Boosting for Weak Classifiers JMLR 2005