Application Areas

Active Learning with Feedback on Features and Instances JMLR 2006 A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006 A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Efficient Methods for Privacy Preserving Face Detection NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 Learning from Multiple Sources NeurIPS 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 Outdoor Path Labeling Using Polynomial Mahalanobis Distance RSS 2006 Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Support Vector Machines on a Budget NeurIPS 2006 Unified Inverse Depth Parametrization for Monocular SLAM RSS 2006 Combining Information Extraction Systems Using Voting and Stacked Generalization JMLR 2005 Data Structure for Efficient Processing in 3-D RSS 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 In Defense of One-Vs-All Classification JMLR 2004 Knowledge-Based Kernel Approximation JMLR 2004