Classification

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NeurIPS 2008 On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 Overlaying classifiers: a practical approach for optimal ranking NeurIPS 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence NeurIPS 2008 Probabilistic Characterization of Random Decision Trees JMLR 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 Ranking Categorical Features Using Generalization Properties JMLR 2008 Ranking Individuals by Group Comparisons JMLR 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Relative Margin Machines NeurIPS 2008 Risk Bounds for Randomized Sample Compressed Classifiers NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 SimpleMKL JMLR 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Stationary Features and Cat Detection JMLR 2008 Super-Flexible Skin Sensors Embedded on the Whole Body, Self-Organizing Based on Haptic Interactions RSS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008