| Full text | |
| Author(s): |
Ramos, Caio C. O.
[1]
;
Souza, Andre N.
[2]
;
Chiachia, Giovani
[3]
;
Falcao, Alexandre X.
[3]
;
Papa, Joao P.
[4, 5]
Total Authors: 5
|
| Affiliation: | [1] Univ Sao Paulo, Dept Elect Engn, Polytech Sch, Sao Paulo - Brazil
[2] UNESP Univ Estadual Paulista, Dept Elect Engn, Bauru - Brazil
[3] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[4] UNESP Univ Estadual Paulista, Dept Comp, Bauru - Brazil
[5] UNESP Univ Estadual Paulista, Dept Comp Sci, Bauru - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | COMPUTERS & ELECTRICAL ENGINEERING; v. 37, n. 6, p. 886-894, NOV 2011. |
| Web of Science Citations: | 47 |
| Abstract | |
Finding an optimal subset of features that maximizes classification accuracy is still an open problem. In this paper, we exploit the speed of the Harmony Search algorithm and the Optimum-Path Forest classifier in order to propose a new fast and accurate approach for feature selection. Comparisons to some other pattern recognition and feature selection techniques showed that the proposed hybrid algorithm for feature selection outperformed them. The experiments were carried out in the context of identifying non-technical losses in power distribution systems. (C) 2011 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 10/00994-8 - Learning Person-Specific Face Representations |
| Grantee: | Giovani Chiachia |
| Support Opportunities: | Scholarships in Brazil - Doctorate |