Data Science & Analytics

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation ACML 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 GenDeR: A Generic Diversified Ranking Algorithm NeurIPS 2012 Graphlet decomposition of a weighted network AISTATS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012 Learning to Discover Social Circles in Ego Networks NeurIPS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012