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Multiple subject learning for inter-subject prediction., and . PRNI, page 1-4. IEEE, (2014)Semi-supervised bipartite ranking with the normalized Rayleigh coefficient.. ESANN, (2009)Dynamical Modeling with Kernels for Nonlinear Time Series Prediction., and . NIPS, page 129-136. MIT Press, (2003)Empirical Bernstein Inequalities for U-Statistics., , and . NIPS, page 1903-1911. Curran Associates, Inc., (2010)Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso., , , and . CoRR, (2014)On Generalizing the C-Bound to the Multiclass and Multi-label Settings., , , and . CoRR, (2015)Cornering Stationary and Restless Mixing Bandits with Remix-UCB., and . NIPS, page 3339-3347. (2015)One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties., , , , , and . Journal of Chemical Information and Modeling, 47 (3): 965-974 (2007)Graph-Based Inter-subject Classification of Local fMRI Patterns., , , , and . MLMI, volume 7588 of Lecture Notes in Computer Science, page 184-192. Springer, (2012)Stochastic Low-Rank Kernel Learning for Regression., , , , and . ICML, page 969-976. Omnipress, (2011)