Data Mining

Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 One Permutation Hashing NeurIPS 2012 Pattern for Python JMLR 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Confidence Sets for Network Structure NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010