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Bound Analysis Through HDMR for Multivariate Data Modelling - CMMSE

✍ Scribed by Tunga, M. Alper ;Demiralp, Metin


Book ID
120676873
Publisher
Springer-Verlag
Year
2012
Tongue
English
Weight
332 KB
Volume
12
Category
Article
ISSN
2214-2487

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This paper provides a multivariate approach to binary segmentation in order to deal with more response variables. Splitting criteria are proposed to grow decision trees with multivariate classiΓΏcation/ prediction. These are derived as extensions of criteria used in two-stage binary segmentation. The