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A0423
Title: Robustness of localized learning Authors:  Andreas Christmann - University of Bayreuth (Germany) [presenting]
Abstract: The computation of kernel methods is usually not fast enough for big data sets. A localized learning method based on kernels is investigated. Recent results on universal consistency and on statistical robustness properties of such localized learning methods will be given.