Classification

Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Fast and Scalable Local Kernel Machines JMLR 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Fluid Dynamics Models for Low Rank Discriminant Analysis AISTATS 2010 Gated Softmax Classification NeurIPS 2010 Gaussian processes with monotonicity information AISTATS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Graph Kernels JMLR 2010 Guarantees for Approximate Incremental SVMs AISTATS 2010 High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010 HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010 How to Explain Individual Classification Decisions JMLR 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010 Improving Human Judgments by Decontaminating Sequential Dependencies NeurIPS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning From Crowds JMLR 2010 Learning Instance-Specific Predictive Models JMLR 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010