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" Ensemble classification methods with applications in R / "


Document Type : BL
Record Number : 840330
Title & Author : Ensemble classification methods with applications in R /\ edited by Esteban Alfaro, Matías Gámez and Noelia García.
Publication Statement : Hoboken, NJ :: John Wiley & Sons, Inc.,, 2019.
: , ©2019
Page. NO : 1 online resource (xix, 200 pages)
ISBN : 1119421551
: : 1119421578
: : 9781119421559
: : 9781119421573
: 9781119421092
Bibliographies/Indexes : Includes bibliographical references and index.
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.
Subject : Machine learning-- Statistical methods.
Subject : R (Computer program language)
Subject : COMPUTERS-- General.
Subject : Machine learning-- Statistical methods.
Subject : R (Computer program language)
Dewey Classification : ‭006.3/1‬
LC Classification : ‭Q325.5‬‭.E568 2019‬
Added Entry : Alfaro, Esteban,1977-
: Gámez, Matías,1966-
: García, Noelia,1973-
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