Classification

Artificial Olfactory Brain for Mixture Identification NeurIPS 2008 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NeurIPS 2008 Breaking Audio CAPTCHAs NeurIPS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding NeurIPS 2008 Classification with a Reject Option using a Hinge Loss JMLR 2008 Closed Sets for Labeled Data JMLR 2008 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008 Consistency of Random Forests and Other Averaging Classifiers JMLR 2008 Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Discriminative Learning of Max-Sum Classifiers JMLR 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008 Evidence Contrary to the Statistical View of Boosting JMLR 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Generative versus discriminative training of RBMs for classification of fMRI images NeurIPS 2008