A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning

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Title:	A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning
Author:	Lapedriza Garcia, Àgata; Seguí, Santi; Masip Rodo, David; Vitrià, Jordi
Abstract:	Peer-reviewed
Abstract:	In this paper we present a new method for Joint Feature Selection and Classifer Learning (JFSCL) using a sparse Bayesian approach.
Subject(s):	-Computer software -- Development -Bayesian statistical decision -Pattern recognition systems -Machine learning -Programari -- Desenvolupament -Estadística bayesiana -Reconeixement de formes (Informàtica) -Aprenentatge automàtic -Software -- Desarrollo -Estadística bayesiana -Reconocimiento de formas (Informática) -Aprendizaje automático
Rights:	The original publication is available at http://www.springerlink.com/content/u2r316781x176n25
Document type:	Article
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