fotos

EFFICIENT FEATURE SELECTION METHODS FOR HIGH DIMENSIONAL DATA

Some Publications:

Acuña, E. Rojas, A., and Coaquira, F. (2002). The effect of feature selection on combining classifiers based on kernel density estimates. In K. Jajuga, A. Sokodowski, H.-H Bock (Eds).Classification, Clustering and Data Analysis. Springer, Heidelberg, 161-168.
Acuña E. and Coaquira, F. (2003) On the performance of ensembles of classifiers based on kernel density estimation. Proceedings of the International conference on computer, communication and control technologies, CCCT03. Vol I. Computing/Information Systems and Technologies. p. 462-467. Orlando, Florida.
Acuña E., Coaquira, F., and Gonzalez, M. (2003) A comparison of feature selection procedures for classifiers based on kernel density estimation. Proceedings of the International conference on computer, communication and control technologies, CCCT03. Vol I. Computing/Information Systems and Technologies. p. 468-472. Orlando, Florida.

PRESENTATIONS IN SCIENTIFIC FORUMS

Feature selection for classification. Meeting of the Caribbean and Central America Region, International Biometric Society IBS, Mayaguez, Puerto Rico. June 11-13, 2003.
Selección de variables para clasificación. Seminario de Investigación Matemática SIDIM. Pontificia Universidad Católica de Puerto Rico, February 2003
On the performance of ensembles of classifiers based on kernel density estimation. International conference on computer, communication and control technologies. Orlando, Florida. July 30-31, 2003.