Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach-Reference-Cited by-同舟云学术

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Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach

Published:2024-02 Issue: Volume:286 Page:111435
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ip Ryan H.L.^ORCID,Bewong Michael^ORCID,Adnan Md. Nasim,Islam Md. Zahidul

Publisher

Elsevier BV

Reference40 articles.

1. Decition trees: A recent overview;Kotsiantis;Artif. Intell. Rev.,2013

2. Bagging predictions;Breiman;Mach. Learn.,1996

3. The random subspace method for constructing decision forests;Ho;IEEE Trans. Pattern Anal. Mach. Intell.,1998

4. Relationships between combiantion methods and measures of diversity in combining classifiers;Shipp;Inf. Fusion,2002

5. Using diversity measures for generating error-correcting output codes in classifier ensembles;Kuncheva;Pattern Recognit. Lett.,2005

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