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Support Vector Machine

254 directly classified papers

Papers per year

Papers

Multi-Task Learning via Conic Programming NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
Max-margin classification of incomplete data NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006
Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Large Scale Transductive SVMs JMLR 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
Active Learning to Recognize Multiple Types of Plankton JMLR 2005
Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005