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Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging

Multiple Kernel Learning (MKL) generalizes SVMs to the setting where one simultaneously trains a linear classifier and chooses an optimal combination of given base kernels. Model complexity is typically controlled using various norm regularizations on the base kernel mixing coefficients. Existing me...

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Detalhes bibliográficos
Main Authors: Hinrichs, Chris, Singh, Vikas, Peng, Jiming, Johnson, Sterling C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4189130/
https://ncbi.nlm.nih.gov/pubmed/25309107
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