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Ensemble classification methods with applications in R

Author: Esteban Alfaro; Matías Gámez; Noelia García
Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2019. ©2019
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Ensemble classification methods with applications in R
Hoboken, NJ : John Wiley & Sons, 2018
(DLC) 2018022257
Material Type: Document
Document Type: Book, Computer File
All Authors / Contributors: Esteban Alfaro; Matías Gámez; Noelia García
ISBN: 9781119421573 1119421578 9781119421559 1119421551
OCLC Number: 1044774979
Description: 1 online resource (xix, 200 pages)
Contents: Limitation of the individual classifiers --
Ensemble classifiers methods --
Classification with individual and ensemble trees in R --
Bankrupcty prediction through ensemble trees --
Experiments with adabag in biology classification tasks --
Generalization bounds for ranking algorithms --
Classification and regression trees for analysing irrigation decisions --
Boosted rule learner and its properties --
Credit scoring with individuals and ensemble trees --
An overview of multiple classifier systems based on Generalized Additive Models.
Responsibility: edited by Esteban Alfaro, Matías Gámez and Noelia García.

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