Classification

Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Learning Polyhedral Classifiers Using Logistic Function ACML 2010 Learning Translation Invariant Kernels for Classification JMLR 2010 Linear Algorithms for Online Multitask Classification JMLR 2010 Linear readout from a neural population with partial correlation data NeurIPS 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010 Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010 Maximum Relative Margin and Data-Dependent Regularization JMLR 2010 Model-based Boosting 2.0 JMLR 2010 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 New Adaptive Algorithms for Online Classification NeurIPS 2010 Nonparametric prior for adaptive sparsity AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010