Classification

The Pyramid Match Kernel: Efficient Learning with Sets of Features JMLR 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 VC Theory of Large Margin Multi-Category Classifiers JMLR 2007 Very Fast Online Learning of Highly Non Linear Problems JMLR 2007 Active learning for misspecified generalized linear models NeurIPS 2006 AdaBoost is Consistent NeurIPS 2006 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NeurIPS 2006 A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 A new inlier identification scheme for robust estimation problems RSS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006 Branch and Bound for Semi-Supervised Support Vector Machines NeurIPS 2006 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Chained Boosting NeurIPS 2006 Comparative Gene Prediction using Conditional Random Fields NeurIPS 2006 Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis JMLR 2006 Considering Cost Asymmetry in Learning Classifiers JMLR 2006