support vector machine

Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Considering Cost Asymmetry in Learning Classifiers JMLR 2006 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006 Fast Discriminative Visual Codebooks using Randomized Clustering Forests NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006 Large Margin Component Analysis NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 Large Scale Multiple Kernel Learning JMLR 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Large Scale Transductive SVMs JMLR 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Maximum-Gain Working Set Selection for SVMs JMLR 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-Instance Multi-Label Learning with Application to Scene Classification NeurIPS 2006 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006 Support Vector Machines on a Budget NeurIPS 2006