support vector machine

Configuration Estimates Improve Pedestrian Finding NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Discriminative Keyword Selection Using Support Vector Machines NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 General Polynomial Time Decomposition Algorithms JMLR 2007 Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Large Margin Semi-supervised Learning JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning to Classify Ordinal Data: The Data Replication Method JMLR 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Margin Trees for High-dimensional Classification JMLR 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Noise Tolerant Variants of the Perceptron Algorithm JMLR 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 VC Theory of Large Margin Multi-Category Classifiers JMLR 2007 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006 A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006 An Efficient Implementation of an Active Set Method for SVMs JMLR 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 Branch and Bound for Semi-Supervised Support Vector Machines NeurIPS 2006