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Remainder subset awareness for feature subset selection
dc.contributor.author | Prat Masramon, Gabriel |
dc.contributor.author | Belanche Muñoz, Luis Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2020-04-21T10:23:10Z |
dc.date.available | 2020-04-21T10:23:10Z |
dc.date.issued | 2007 |
dc.identifier.citation | Prat, G.; Belanche, L. Remainder subset awareness for feature subset selection. A: Taller de Mineria de Datos y Aprendizaje. "Actas del IV Taller de Minería de Datos y Aprendizaje, TAMIDA 2007". Thomson Editores Spain, 2007, p. 31-38. |
dc.identifier.isbn | 978-84-9732-602-5 |
dc.identifier.uri | http://hdl.handle.net/2117/184098 |
dc.description.abstract | Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The family of algorithms known as plus-l-minus-r and its immediate derivatives (like forward selection) are very popular and often the only viable alternative when used in wrapper mode. In consequence, it is of the greatest importance to take the most of every evaluation of the inducer, which is normally the more costly part. In this paper, a technique is proposed that takes into account the inducer evaluation both in the current subset and in the remainder subset (its complementary set) and is applicable to any sequential subset selection algorithm at a reasonable overhead in cost. Its feasibility is demonstrated on a series of benchmark data sets. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Thomson Editores Spain |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Automatic classification |
dc.subject.lcsh | Algorithms |
dc.title | Remainder subset awareness for feature subset selection |
dc.type | Conference report |
dc.subject.lemac | Classificació automàtica |
dc.subject.lemac | Algorismes |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.lsi.us.es/redmidas/CEDI07/%5B3bis%5D.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 27790431 |
dc.description.version | Postprint (published version) |
local.citation.author | Prat, G.; Belanche, Ll. |
local.citation.contributor | Taller de Mineria de Datos y Aprendizaje |
local.citation.publicationName | Actas del IV Taller de Minería de Datos y Aprendizaje, TAMIDA 2007 |
local.citation.startingPage | 31 |
local.citation.endingPage | 38 |