Data Science & Analytics

Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range RSS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 Throttling Poisson Processes NeurIPS 2010 Towards Property-Based Classification of Clustering Paradigms NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NeurIPS 2010 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Java-ML: A Machine Learning Library JMLR 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Linear-time Algorithms for Pairwise Statistical Problems NeurIPS 2009