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Supervised Learning

989 papers

Papers per year

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120
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Papers

Agnostic Active Learning Without Constraints NIPS 2010
Supervised Clustering NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
On the Theory of Learnining with Privileged Information NIPS 2010
Variable margin losses for classifier design NIPS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
Learning via Gaussian Herding NIPS 2010
Learning To Count Objects in Images NIPS 2010
Decision Tree for Dynamic and Uncertain Data Streams ACML 2010
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010
Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010
Feature Selection using Multiple Streams AISTATS 2010
Negative Results for Active Learning with Convex Losses AISTATS 2010
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
Potential-Based Agnostic Boosting NIPS 2009
Maximin affinity learning of image segmentation NIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
Boosting with Spatial Regularization NIPS 2009