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Ensemble classification methods with...

Alfaro, Esteban, (1977-)

Ensemble classification methods with applications in R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Ensemble classification methods with applications in R /edited by Esteban Alfaro, Matías Gámez, Noelia García.
other author:	Alfaro, Esteban,
Published:	Hoboken, NJ :John Wiley & Sons,2019.
Description:	xix, 200 p. :ill. ;26 cm.
Subject:	Machine learningStatistical methods.
ISBN:	9781119421092 :

Ensemble classification methods with applications in R /
Ensemble classification methods with applications in R /edited by Esteban Alfaro, Matías Gámez, Noelia García. - Hoboken, NJ :John Wiley & Sons,2019. - xix, 200 p. :ill. ;26 cm.

Includes bibliographical references and index.

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 GAM.

ISBN: 9781119421092 :$125

Patent No.: cam a2200229 a 450

LCCN: 2018022257Subjects--Topical Terms:

305185
Machine learning
--Statistical methods.

LC Class. No.: Q325.5 / E59 2019

Dewey Class. No.: 006.3/1

Ensemble classification methods with applications in R /
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020 $a 9781119421092 : $c $125
020 $z 9781119421573 (adobe PDF)
020 $z 9781119421559 (ePub)
035 $a 20566774
040 $a WaSeSS/DLC $b eng $c WaSeSS
042 $a pcc
050 0 0 $a Q325.5 $b E59 2019
082 0 0 $a 006.3/1 $2 23
245 0 0 $a Ensemble classification methods with applications in R / $c edited by Esteban Alfaro, Matías Gámez, Noelia García.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2019.
300 $a xix, 200 p. : $b ill. ; $c 26 cm.
504 $a Includes bibliographical references and index.
505 0 $a 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 GAM.
650 0 $a Machine learning $x Statistical methods. $3 305185
650 0 $a R (Computer program language) $3 210846
700 1 $a Alfaro, Esteban, $d 1977- $e editor. $3 829126
700 1 $a García, Noelia, $d 1973- $e editor. $3 829127
700 1 $a Gámez, Matías, $d 1966- $e editor . $3 829128
776 0 8 $i Online version: $t Ensemble classification methods with applications in R $d Hoboken, NJ : John Wiley & Sons, 2018 $z 9781119421573 $w (DLC) 2018033307