support vector machine

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011 Learning Anchor Planes for Classification NeurIPS 2011 Learning person-object interactions for action recognition in still images NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 Multi-label Active Learning with Auxiliary Learner ACML 2011 Multiple Kernel Learning Algorithms JMLR 2011 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 -Norm Multiple Kernel Learning JMLR 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Training SVMs Without Offset JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 Bundle Methods for Regularized Risk Minimization JMLR 2010 Consensus-Based Distributed Support Vector Machines JMLR 2010 Discriminative Topic Segmentation of Text and Speech AISTATS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Ellipsoidal Support Vector Machines ACML 2010 Empirical Bernstein Boosting AISTATS 2010 Fast and Scalable Local Kernel Machines JMLR 2010 Gated Softmax Classification NeurIPS 2010 Guarantees for Approximate Incremental SVMs AISTATS 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010