An ensemble method based on AdaBoost and meta-learning

Xuan Liu; Xiaoguang Wang; Nathalie Japkowicz; Stan Matwin

doi:10.1007/978-3-642-38457-8_27

An ensemble method based on AdaBoost and meta-learning

Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Original language	English
Title of host publication	Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings
Pages	278-285
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-38457-8_27
Publication status	Published - 2013
Event	26th Canadian Conference on Artificial Intelligence, Canadian AI 2013 - Regina, SK, Canada Duration: May 28 2013 → May 31 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7884 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	26th Canadian Conference on Artificial Intelligence, Canadian AI 2013
Country/Territory	Canada
City	Regina, SK
Period	5/28/13 → 5/31/13

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-38457-8_27

Cite this

Liu, X., Wang, X., Japkowicz, N., & Matwin, S. (2013). An ensemble method based on AdaBoost and meta-learning. In Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings (pp. 278-285). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7884 LNAI). https://doi.org/10.1007/978-3-642-38457-8_27

An ensemble method based on AdaBoost and meta-learning. / Liu, Xuan; Wang, Xiaoguang; Japkowicz, Nathalie et al.
Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. 2013. p. 278-285 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7884 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, X, Wang, X, Japkowicz, N & Matwin, S 2013, An ensemble method based on AdaBoost and meta-learning. in Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7884 LNAI, pp. 278-285, 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, 5/28/13. https://doi.org/10.1007/978-3-642-38457-8_27

Liu X, Wang X, Japkowicz N, Matwin S. An ensemble method based on AdaBoost and meta-learning. In Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. 2013. p. 278-285. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38457-8_27

Liu, Xuan ; Wang, Xiaoguang ; Japkowicz, Nathalie et al. / An ensemble method based on AdaBoost and meta-learning. Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. 2013. pp. 278-285 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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An ensemble method based on AdaBoost and meta-learning

Publication series

Conference

ASJC Scopus Subject Areas

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