Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3C9ES5P |
Repository | sid.inpe.br/sibgrapi/2012/07.12.18.44 |
Last Update | 2012:07.31.18.39.56 papa.joaopaulo@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2012/07.12.18.44.07 |
Metadata Last Update | 2020:02.19.02.18.28 administrator |
Citation Key | NakamuraPeCoRoPaYa:2012:BiBaAl |
Title | BBA: A Binary Bat Algorithm for Feature Selection  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 166 KiB |
Context area | |
Author | 1 Nakamura, Rodrigo Yuji Mizobe 2 Pereira, Luis Augusto Martins 3 Costa, Kelton Augusto Pontara da 4 Rodrigues, Douglas 5 Papa, Joao Paulo 6 Yang, Xin-She |
Affiliation | 1 Sao Paulo State University - UNESP 2 Sao Paulo State University - UNESP 3 Sao Paulo State University - UNESP 4 Sao Paulo State University - UNESP 5 Sao Paulo State University - UNESP 6 National Physical Laboratory |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | papa.joaopaulo@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: papa.joaopaulo@gmail.com -> administrator :: 2012 2020-02-19 02:18:28 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3C9ES5P |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C9ES5P |
Language | en |
Target File | updated_paper.pdf |
User Group | papa.joaopaulo@gmail.com |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| |