Data Science & Analytics

A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Clustering Aggregation as Maximum-Weight Independent Set NeurIPS 2012 Clustering Sparse Graphs NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 Consistency and Rates for Clustering with DBSCAN AISTATS 2012 Constrained 1-Spectral Clustering AISTATS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Co-Regularized Hashing for Multimodal Data NeurIPS 2012 Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012 Density-Difference Estimation NeurIPS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Factorized Diffusion Map Approximation AISTATS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012