multiple kernel learning

Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011 Learning Multi-modal Similarity JMLR 2011 Learning to Locate Relative Outliers ACML 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Multiple Kernel Learning Algorithms JMLR 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 -Norm Multiple Kernel Learning JMLR 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Unsupervised Multiple Kernel Learning ACML 2011 Variable Sparsity Kernel Learning JMLR 2011 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 The SHOGUN Machine Learning Toolbox JMLR 2010 Data-driven calibration of linear estimators with minimal penalties NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008