Classification

Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 The SHOGUN Machine Learning Toolbox JMLR 2010 Tight Sample Complexity of Large-Margin Learning NeurIPS 2010 t-logistic regression NeurIPS 2010 Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NeurIPS 2010 Trading off Mistakes and Don't-Know Predictions NeurIPS 2010 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 Tree Decomposition for Large-Scale SVM Problems JMLR 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Unsupervised Aggregation for Classification Problems with Large Numbers of Categories AISTATS 2010 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010 Variable margin losses for classifier design NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Adaptive Regularization of Weight Vectors NeurIPS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009 Analysis of Perceptron-Based Active Learning JMLR 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009