Data Science & Analytics

Simple Local Models for Complex Dynamical Systems NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008 Visualizing Data using t-SNE JMLR 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007