Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging

Widmer, Christian; Kloft, Marius; Lou, Xinghua; Rätsch, Gunnar

Autor(en):

Widmer, Christian [DBLP] ;

Kloft, Marius [DBLP] ;

Lou, Xinghua [DBLP] ;

Rätsch, Gunnar [DBLP]

Zusammenfassung

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.

Vollständige Referenz
BibTeX

Widmer, C., Kloft, M., Lou, X. & Rätsch, G., (2014). Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. KI - Künstliche Intelligenz: Vol. 28, No. 1. Springer. (S. 29-33). DOI: 10.1007/s13218-013-0283-y

@article{mci/Widmer2014,
author = {Widmer, Christian AND Kloft, Marius AND Lou, Xinghua AND Rätsch, Gunnar},
title = {Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging},
journal = {KI - Künstliche Intelligenz},
volume = {28},
number = {1},
year = {2014},
,
pages = { 29-33 } ,
doi = { 10.1007/s13218-013-0283-y }
}

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