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2008

A sparse Bayesian approach for joint feature selection and classifier learning

8 years 10 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing a global loss function that includes a term associated with the empirical loss and another one representing a fea
Àgata Lapedriza, Santi Seguí, David
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where PAA
Authors Àgata Lapedriza, Santi Seguí, David Masip, Jordi Vitrià
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