@InProceedings{NakamuraPeCoRoPaYa:2012:BiBaAl,
author = "Nakamura, Rodrigo Yuji Mizobe and Pereira, Luis Augusto Martins
and Costa, Kelton Augusto Pontara da and Rodrigues, Douglas and
Papa, Joao Paulo and Yang, Xin-She",
affiliation = "{Sao Paulo State University - UNESP } and {Sao Paulo State
University - UNESP } and {Sao Paulo State University - UNESP } and
{Sao Paulo State University - UNESP } and {Sao Paulo State
University - UNESP } and {National Physical Laboratory}",
title = "BBA: A Binary Bat Algorithm for Feature Selection",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "feature selection, bat algorithm, optimum-path forest.",
abstract = "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 exhaustive search. In this paper
we propose a new nature-inspired feature selection technique based
on the bats behavior, which has never been applied to this context
so far. The wrapper approach combines the power of exploration of
the bats together with the speed of the Optimum-Path Forest
classifier to find the set of features that maximizes the accuracy
in a validating set. Experiments conducted in five public datasets
have demonstrated that the proposed approach can outperform some
well-known swarm-based techniques.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.47",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.47",
language = "en",
ibi = "8JMKD3MGPBW34M/3C9ES5P",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9ES5P",
targetfile = "updated_paper.pdf",
urlaccessdate = "2024, Apr. 29"
}