Data Science & Analytics

Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Recursive Attribute Factoring NeurIPS 2006 Similarity by Composition NeurIPS 2006 Stability of K-Means Clustering NeurIPS 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Using Machine Learning to Guide Architecture Simulation JMLR 2006 Clustering with Bregman Divergences JMLR 2005 What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005 Subgroup Discovery with CN2-SD JMLR 2004 Weather Data Mining Using Independent Component Analysis JMLR 2004 Graph-Based Hierarchical Conceptual Clustering JMLR 2001