Applications

Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006