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