A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning
| Resumo |
Peer-reviewed In this paper we present a new method for Joint Feature Selection and Classifer Learning (JFSCL) using a sparse Bayesian approach. |
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| Identificador | |
| Idioma(s) |
eng |
| Direitos |
The original publication is available at <a href="http://www.springerlink.com/content/u2r316781x176n25">http://www.springerlink.com/content/u2r316781x176n25</a> |
| Fonte |
http://hdl.handle.net/10363/566 |
| Palavras-Chave | #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 |
| Tipo |
Article |
