support vector machine

Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009 Kernel Methods for Deep Learning NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Learning Nondeterministic Classifiers JMLR 2009 Learning When Concepts Abound JMLR 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009 Nieme: Large-Scale Energy-Based Models JMLR 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Robustness and Regularization of Support Vector Machines JMLR 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009 Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009 A Bahadur Representation of the Linear Support Vector Machine JMLR 2008 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Massively Parallel Digital Learning Processor NeurIPS 2008 A Moment Bound for Multi-hinge Classifiers JMLR 2008 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008 Breaking Audio CAPTCHAs NeurIPS 2008