Classification

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009 An LP View of the M-best MAP problem NeurIPS 2009 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009 A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009 AUC optimization and the two-sample problem NeurIPS 2009 Bilinear classifiers for visual recognition NeurIPS 2009 Boosting with Spatial Regularization NeurIPS 2009 Bounded Kernel-Based Online Learning JMLR 2009 CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning JMLR 2009 Cautious Collective Classification JMLR 2009 Classification with Gaussians and Convex Loss JMLR 2009 Conditional Neural Fields NeurIPS 2009 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Discriminative Learning Under Covariate Shift JMLR 2009 Discriminative Network Models of Schizophrenia NeurIPS 2009 Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009 Distribution-Calibrated Hierarchical Classification NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Dlib-ml: A Machine Learning Toolkit JMLR 2009