Classification

Confidence-Weighted Linear Classification for Text Categorization JMLR 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Context-Sensitive Decision Forests for Object Detection NeurIPS 2012 Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012 Copula Network Classifiers (CNCs) AISTATS 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012 Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks JMLR 2012 Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012 Facilitating Score and Causal Inference Trees for Large Observational Studies JMLR 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 FFT-based Terrain Segmentation for Underwater Mapping RSS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Hope and Fear for Discriminative Training of Statistical Translation Models JMLR 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012