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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9ES5P
Repositorysid.inpe.br/sibgrapi/2012/07.12.18.44
Last Update2012:07.31.18.39.56 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.12.18.44.07
Metadata Last Update2022:06.14.00.07.30 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.47
Citation KeyNakamuraPeCoRoPaYa:2012:BiBaAl
TitleBBA: A Binary Bat Algorithm for Feature Selection
FormatDVD, On-line.
Year2012
Access Date2025, July 02
Number of Files1
Size166 KiB
2. Context
Author1 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
Affiliation1 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
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addresspapa.joaopaulo@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: papa.joaopaulo@gmail.com -> administrator :: 2012
2022-03-08 21:03:23 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 13:02:30 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:30 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsfeature selection
bat algorithm
optimum-path forest
AbstractFeature 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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > BBA: A Binary...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > BBA: A Binary...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3C9ES5P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9ES5P
Languageen
Target Fileupdated_paper.pdf
User Grouppapa.joaopaulo@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 39
sid.inpe.br/sibgrapi/2022/06.10.21.49 4
sid.inpe.br/banon/2001/03.30.15.38.24 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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