Classification

Robust Process Discovery with Artificial Negative Events JMLR 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Similarity-based Classification: Concepts and Algorithms JMLR 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining JMLR 2009 Tactile texture recognition with a 3-axial force MEMS integrated artificial finger RSS 2009 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009 Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009 Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009 A Bahadur Representation of the Linear Support Vector Machine JMLR 2008 Adaptive Martingale Boosting NeurIPS 2008 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Moment Bound for Multi-hinge Classifiers JMLR 2008 An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NeurIPS 2008 An Error Bound Based on a Worst Likely Assignment JMLR 2008 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 Approximations for Binary Gaussian Process Classification JMLR 2008