Application Areas

A Least-squares Approach to Direct Importance Estimation JMLR 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity NeurIPS 2009 Boosting with Spatial Regularization NeurIPS 2009 Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NeurIPS 2009 Discriminative Learning Under Covariate Shift JMLR 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009 fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Linear-time Algorithms for Pairwise Statistical Problems NeurIPS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Model Monitor (M2): Evaluating, Comparing, and Monitoring Models JMLR 2009 Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009 A Massively Parallel Digital Learning Processor NeurIPS 2008 An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NeurIPS 2008