MARC details
000 -LEADER |
fixed length control field |
01871cam a2200349 a 4500 |
001 - CONTROL NUMBER |
control field |
17253290 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230913020002.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
120412s2012 flua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2012014555 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781439830031 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA278.4 |
Item number |
.Z47 2012 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Edition number |
23 |
Item number |
ZHO-E |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
BUS061000 |
-- |
COM021030 |
-- |
COM037000 |
Source of number |
bisacsh |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Zhou, Zhi-Hua |
245 10 - TITLE STATEMENT |
Title |
Ensemble methods : |
Remainder of title |
foundations and algorithms |
Statement of responsibility, etc |
Zhi-Hua Zhou. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Boca Raton, FL : |
Name of publisher, distributor, etc |
Taylor & Francis, |
Date of publication, distribution, etc |
©2012. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 222 p. : |
Other physical details |
ill. ; |
Dimensions |
25 cm. |
490 0# - SERIES STATEMENT |
Series statement |
Chapman & Hall/CRC machine learning & pattern recognition series |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (p. 187-218) and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of research in ensemble methods, including such famous methods as boosting, bagging, and rainforest, along with current directions and methods not sufficiently addressed in other books. Chapters explore cutting-edge topics, such as semi-supervised ensembles, cluster ensembles, and comprehensibility, as well as successful applications"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Multiple comparisons (Statistics) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Set theory. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical analysis. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / Statistics |
Source of heading or term |
bisacsh. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
COMPUTERS / Database Management / Data Mining |
Source of heading or term |
bisacsh. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
COMPUTERS / Machine Theory |
Source of heading or term |
bisacsh. |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Books |
Koha issues (borrowed), all copies |
5 |