L(2)-norm multiple kernel learning and its application to biomedical data fusion

BACKGROUND: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields different extensions of multiple kernel learning (MKL) such as L(∞), L(1), and L(2 )MKL. In particular, L(2 )MKL is a novel m...

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Detalles Bibliográficos
Autores principales: Yu, Shi, Falck, Tillmann, Daemen, Anneleen, Tranchevent, Leon-Charles, Suykens, Johan AK, De Moor, Bart, Moreau, Yves
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906488/
https://www.ncbi.nlm.nih.gov/pubmed/20529363
http://dx.doi.org/10.1186/1471-2105-11-309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906488/
https://www.ncbi.nlm.nih.gov/pubmed/20529363
http://dx.doi.org/10.1186/1471-2105-11-309

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