Journal of Intelligent Learning Systems and Applications

Vol.5 No.1(2013), Paper ID 27936, 10 pages

DOI:10.4236/jilsa.2013.51003

 

LP-SVR Model Selection Using an Inexact Globalized Quasi-Newton Strategy

 

Pablo Rivas-Perea, Juan Cota-Ruiz, J. A. Perez Venzor, David Garcia Chaparro, Jose-Gerardo Rosiles

 

Department of Computer Science, Baylor University, Waco, TX, USA
Department of Electrical and Computer Engineering, Auto- nomous University of Ciudad Juarez, Ciudad Juárez, Mexico
Department of Electrical and Computer Engineering, Auto- nomous University of Ciudad Juarez, Ciudad Juárez, Mexico
Department of Electrical and Computer Engineering, Auto- nomous University of Ciudad Juarez, Ciudad Juárez, Mexico
Science Applications International Corporation, El Paso, TX, USA.

 

Copyright © 2013 Pablo Rivas-Perea, Juan Cota-Ruiz, J. A. Perez Venzor, David Garcia Chaparro, Jose-Gerardo Rosiles et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


P. Rivas-Perea, J. Cota-Ruiz, J. Venzor, D. Chaparro and J. Rosiles, "LP-SVR Model Selection Using an Inexact Globalized Quasi-Newton Strategy," Journal of Intelligent Learning Systems and Applications, Vol. 5 No. 1, 2013, pp. 19-28. doi: 10.4236/jilsa.2013.51003.

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