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Papers (including subtopics)

Maximum-Gain Working Set Selection for SVMs JMLR 2006 Max-margin classification of incomplete data NeurIPS 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006 MLLE: Modified Locally Linear Embedding Using Multiple Weights NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Multi-Instance Multi-Label Learning with Application to Scene Classification NeurIPS 2006 Multiple Instance Learning for Computer Aided Diagnosis NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Nonnegative Sparse PCA NeurIPS 2006 Nonparametric Quantile Estimation JMLR 2006 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006 On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 On Model Selection Consistency of Lasso JMLR 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006 On Transductive Regression NeurIPS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006