Data Science & Analytics

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 Stability Bounds for Non-i.i.d. Processes NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NeurIPS 2006 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 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 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 In-Network PCA and Anomaly Detection NeurIPS 2006 Learning Spectral Clustering, With Application To Speech Separation JMLR 2006