Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
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 /
LDR
:01410nam a2200241 a 4500
001
549209
005
20180711131030.0
008
190920s2019 njua b 001 0 eng c
010
$a
2018022257
013
7 9
$a
cam a2200229 a 450
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
based on 0 review(s)
ALL
西方語文圖書區(四樓)
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
320000720203
西方語文圖書區(四樓)
1圖書
一般圖書
Q325.5 E59 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login