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Künstliche Intelligenz 28(1) - März 2014

https://dl.gi.de/handle/20.500.12116/11088
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Auflistung Künstliche Intelligenz 28(1) - März 2014 nach Autor:in "Lou, Xinghua"

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  • Zeitschriftenartikel
    Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging
    (KI - Künstliche Intelligenz: Vol. 28, No. 1, 2014) Widmer, Christian; Kloft, Marius; Lou, Xinghua; Rätsch, Gunnar
    The aim of multitask learning is to improve the generalization performance of a set of related tasks by exploiting complementary information about the tasks. In this paper, we review established approaches for regularization based multitask learning, sketch some recent developments, and demonstrate their applications in Computational Biology and Biological Imaging.