Titlebook: Switching and Learning in Feedback Systems; European Summer Scho Roderick Murray-Smith,Robert Shorten Book 2005 Springer-Verlag Berlin Heid

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Analysis of Some Methods for Reduced Rank Gaussian Process Regressionr computational complexity makes them impractical when the size of the training set exceeds a few thousand cases. This has motivated the recent proliferation of a number of cost-effective approximations to GPs, both for classification and for regression. In this paper we analyze one popular approxim

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A Second-Order Cone Bounding Algorithm for Robust Minimum Variance Beamforminges enclose the uncertainties with a convex set; the antenna weights are then designed to minimize the maximum array output variance over this set. In contrast, we propose to cover the uncertainty by a second-order cone (SOC). The optimization problem, with optional robust interference rejection cons