Now showing items 1-4 of 4
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier
(Pattern Recognition Letters, 2014-04-15) [Artigo]
In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies ...
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection
(Computers & Electrical Engineering, 2011-11-01) [Artigo]
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 ...
Optimizing feature selection through binary charged system search
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013-09-26) [Trabalho apresentado em evento]
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
What is the importance of selecting features for non-technical losses identification?
(Proceedings - IEEE International Symposium on Circuits and Systems, 2011-08-02) [Trabalho apresentado em evento]
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...