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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F05%3A03107899%21RIV06-AV0-21230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
Není k dispozici This paper presents an algorithm for induction of ensembles of decision trees, also referred to as decision forests. In order to achieve high expressiveness the trees induced are multivariate, with various, possibly user-defined tests in their internal nodes. Strongly typed genetic programming is utilized to evolve structure of the tests. Special attention is given to the problem of diversity of the forest constructed. An approach is proposed, which explicitly encourages the induction algorithm to produce a different tree each run, which represents an alternative description of the data. It is shown that forests constructed this way have significantly reduced classification error even for small forest size, compared to other ensemble methods. Classification accuracy is also compared to other recent methods on several real-world datasets. This paper presents an algorithm for induction of ensembles of decision trees, also referred to as decision forests. In order to achieve high expressiveness the trees induced are multivariate, with various, possibly user-defined tests in their internal nodes. Strongly typed genetic programming is utilized to evolve structure of the tests. Special attention is given to the problem of diversity of the forest constructed. An approach is proposed, which explicitly encourages the induction algorithm to produce a different tree each run, which represents an alternative description of the data. It is shown that forests constructed this way have significantly reduced classification error even for small forest size, compared to other ensemble methods. Classification accuracy is also compared to other recent methods on several real-world datasets.
dcterms:title
Inducing Diverse Decision Forests with Genetic Programming Není k dispozici Inducing Diverse Decision Forests with Genetic Programming
skos:prefLabel
Není k dispozici Inducing Diverse Decision Forests with Genetic Programming Inducing Diverse Decision Forests with Genetic Programming
skos:notation
RIV/68407700:21230/05:03107899!RIV06-AV0-21230___
n4:strany
301 ; 310
n4:aktivita
n16:P
n4:aktivity
P(1ET201210527)
n4:dodaniDat
n12:2006
n4:domaciTvurceVysledku
n11:9673199 n11:1775022
n4:druhVysledku
n10:D
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n20:predkladatel
n4:idSjednocenehoVysledku
524587
n4:idVysledku
RIV/68407700:21230/05:03107899
n4:jazykVysledku
n9:eng
n4:klicovaSlova
Genetic Programming; decision forests; decision trees
n4:klicoveSlovo
n8:decision%20forests n8:Genetic%20Programming n8:decision%20trees
n4:kontrolniKodProRIV
[916C596A6AFC]
n4:mistoKonaniAkce
Lausanne
n4:mistoVydani
Heidelberg
n4:nazevZdroje
Genetic Programming
n4:obor
n17:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n15:1ET201210527
n4:rokUplatneniVysledku
n12:2005
n4:tvurceVysledku
Suchý, Jan Kubalík, Jiří
n4:typAkce
n7:WRD
n4:zahajeniAkce
2005-03-30+02:00
s:numberOfPages
10
n18:hasPublisher
Springer-Verlag
n6:isbn
3-540-25436-6
n14:organizacniJednotka
21230