Partitioner Trees for Classification - A New Ensemble Method.

Georg Krempl; Vera Hofer

doi:10.1007/978-3-642-03999-7_6

Partitioner Trees for Classification - A New Ensemble Method.

Sub Algorithmic Data Analysis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Original language	English
Title of host publication	Applications of Supervised and Unsupervised Ensemble Methods
Editors	Oleg Okun, Giorgio Valentini
Publisher	Springer
Pages	93-112
Volume	245
DOIs	https://doi.org/10.1007/978-3-642-03999-7_6
Publication status	Published - 2009

Publication series

Name	Studies in Computational Intelligence

Bibliographical note

DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

10.1007/978-3-642-03999-7_6

https://dblp.org/rec/series/sci/KremplH09

Cite this

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title = "Partitioner Trees for Classification - A New Ensemble Method.",

author = "Georg Krempl and Vera Hofer",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2009",

doi = "10.1007/978-3-642-03999-7_6",

language = "English",

volume = "245",

series = "Studies in Computational Intelligence",

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AU - Krempl, Georg

AU - Hofer, Vera

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2009

Y1 - 2009

U2 - 10.1007/978-3-642-03999-7_6

DO - 10.1007/978-3-642-03999-7_6

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EP - 112

BT - Applications of Supervised and Unsupervised Ensemble Methods

A2 - Okun, Oleg

A2 - Valentini, Giorgio

PB - Springer

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