support vector machine

Non-Sparse Multiple Kernel Fisher Discriminant Analysis JMLR 2012 One Permutation Hashing NeurIPS 2012 Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent? COLT 2012 PAC-Bayes Bounds with Data Dependent Priors JMLR 2012 Pairwise Support Vector Machines and their Application to Large Scale Problems JMLR 2012 Perceptron Learning of SAT NeurIPS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NeurIPS 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection AISTATS 2012 Sparse Additive Machine AISTATS 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Advice Refinement in Knowledge-Based SVMs NeurIPS 2011 A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems AISTATS 2011 Agnostic Selective Classification NeurIPS 2011 Beating SGD: Learning SVMs in Sublinear Time NeurIPS 2011 Double Updating Online Learning JMLR 2011 Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Kernel Regression in the Presence of Correlated Errors JMLR 2011 Laplacian Support Vector Machines Trained in the Primal JMLR 2011