Matches in SemOpenAlex for { <https://semopenalex.org/work/W2055084746> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2055084746 abstract "In this paper, a feature perturbation by mutual information is proposed and multiple nearest neighbor classifiers are combined according to this way. Multiple nearest neighbor classifiers system based on feature perturbation can improve the performance of single nearest neighbor classifier biased with the curse of dimensionality. However, there are two problems in multiple nearest neighbor classifiers system based on feature perturbation: (i) how to determine the number of component classifiers, and (ii) how to select features for each component classifier. In this paper, the proposed method by mutual information is able to solve the two problems. (i) The number of component classifiers is set to be the number of classes, and (ii) the selected features for each component classifier are automatically determined by mutual information. In order to evaluate the effectiveness of the proposed method, three UCI datasets are selected. And the proposed method is compared with: (i) NNC, (ii) NNC after feature selection by mutual information, (iii) multiple nearest neighbor classifiers system based on feature perturbation by attribute bagging. The experimental results show that multiple classifiers system is superior to single classifier. And multiple nearest neighbor classifiers system based on feature perturbation by mutual information is better than any other combination methods. In addition, the number of component classifiers in the proposed method is less than any other methods." @default.
- W2055084746 created "2016-06-24" @default.
- W2055084746 creator A5088734112 @default.
- W2055084746 date "2010-07-01" @default.
- W2055084746 modified "2023-09-23" @default.
- W2055084746 title "Multiple nearest neighbor classifiers system based on feature perturbation by mutual information" @default.
- W2055084746 cites W1578627936 @default.
- W2055084746 cites W1988790447 @default.
- W2055084746 cites W2038567802 @default.
- W2055084746 cites W2109094355 @default.
- W2055084746 cites W2113242816 @default.
- W2055084746 cites W2113890143 @default.
- W2055084746 cites W2124868070 @default.
- W2055084746 cites W2149772057 @default.
- W2055084746 cites W2155720957 @default.
- W2055084746 cites W2156483112 @default.
- W2055084746 cites W2487087946 @default.
- W2055084746 cites W2912934387 @default.
- W2055084746 cites W61567823 @default.
- W2055084746 doi "https://doi.org/10.1109/icmlc.2010.5581059" @default.
- W2055084746 hasPublicationYear "2010" @default.
- W2055084746 type Work @default.
- W2055084746 sameAs 2055084746 @default.
- W2055084746 citedByCount "0" @default.
- W2055084746 crossrefType "proceedings-article" @default.
- W2055084746 hasAuthorship W2055084746A5088734112 @default.
- W2055084746 hasConcept C106135958 @default.
- W2055084746 hasConcept C111030470 @default.
- W2055084746 hasConcept C113238511 @default.
- W2055084746 hasConcept C148483581 @default.
- W2055084746 hasConcept C152139883 @default.
- W2055084746 hasConcept C153180895 @default.
- W2055084746 hasConcept C154945302 @default.
- W2055084746 hasConcept C33923547 @default.
- W2055084746 hasConcept C41008148 @default.
- W2055084746 hasConcept C70518039 @default.
- W2055084746 hasConcept C95623464 @default.
- W2055084746 hasConceptScore W2055084746C106135958 @default.
- W2055084746 hasConceptScore W2055084746C111030470 @default.
- W2055084746 hasConceptScore W2055084746C113238511 @default.
- W2055084746 hasConceptScore W2055084746C148483581 @default.
- W2055084746 hasConceptScore W2055084746C152139883 @default.
- W2055084746 hasConceptScore W2055084746C153180895 @default.
- W2055084746 hasConceptScore W2055084746C154945302 @default.
- W2055084746 hasConceptScore W2055084746C33923547 @default.
- W2055084746 hasConceptScore W2055084746C41008148 @default.
- W2055084746 hasConceptScore W2055084746C70518039 @default.
- W2055084746 hasConceptScore W2055084746C95623464 @default.
- W2055084746 hasLocation W20550847461 @default.
- W2055084746 hasOpenAccess W2055084746 @default.
- W2055084746 hasPrimaryLocation W20550847461 @default.
- W2055084746 hasRelatedWork W142231932 @default.
- W2055084746 hasRelatedWork W1587378918 @default.
- W2055084746 hasRelatedWork W1997168891 @default.
- W2055084746 hasRelatedWork W2015401436 @default.
- W2055084746 hasRelatedWork W2035268558 @default.
- W2055084746 hasRelatedWork W2063637550 @default.
- W2055084746 hasRelatedWork W2065974276 @default.
- W2055084746 hasRelatedWork W2082330946 @default.
- W2055084746 hasRelatedWork W2088060796 @default.
- W2055084746 hasRelatedWork W2105405775 @default.
- W2055084746 hasRelatedWork W2110720155 @default.
- W2055084746 hasRelatedWork W2137681373 @default.
- W2055084746 hasRelatedWork W2139611035 @default.
- W2055084746 hasRelatedWork W2167449261 @default.
- W2055084746 hasRelatedWork W2217764369 @default.
- W2055084746 hasRelatedWork W2374397375 @default.
- W2055084746 hasRelatedWork W2379566252 @default.
- W2055084746 hasRelatedWork W2540337009 @default.
- W2055084746 hasRelatedWork W2592284695 @default.
- W2055084746 hasRelatedWork W2999387668 @default.
- W2055084746 isParatext "false" @default.
- W2055084746 isRetracted "false" @default.
- W2055084746 magId "2055084746" @default.
- W2055084746 workType "article" @default.