Classification

Neyman-Pearson classification under a strict constraint COLT 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011 -Norm Multiple Kernel Learning JMLR 2011 Object Detection with Grammar Models NeurIPS 2011 On Equivalence Relationships Between Classification and Ranking Algorithms JMLR 2011 On the Consistency of Multi-Label Learning COLT 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Robust Lasso with missing and grossly corrupted observations NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Semantic Labeling of 3D Point Clouds for Indoor Scenes NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011 Structured Learning for Cell Tracking NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 Summarization of Yes/No Questions Using a Feature Function Model ACML 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011