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De Mol, Christine
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Author
De Mol, Christine
Christine De Mol
Christine De Mol
(born 23 April 1954) is a Belgian applied mathematician and mathematical physicist interested in
inverse problem
s,
regularization
,
wavelet
s, and
machine learning
, and known for her work on
proximal gradient method
s and the application of
proximal gradient methods for learning
. She is a professor of mathematics at the
Université libre de Bruxelles
, and the former chair of the
SIAM
Activity Group on Imaging Science.
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De Mol, Christine
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1
Elastic-Net Regularization in Learning Theory
by
De Mol, Christine
,
Rosasco, Lorenzo
,
De Vito, Ernesto
Published 2008
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2
Elastic-net regularization in learning theory
by
De Mol, Christine
,
De Vito, Ernesto
,
Rosasco, Lorenzo Andrea
Published 2015
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