Ensemble methods : (Record no. 4798)

MARC details
000 -LEADER
fixed length control field 01800cam a2200289 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260112063323.0
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012-014555
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439830031 (hardback)
039 ## - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 202110061116
Level of effort used to assign nonsubject heading access points staff
Level of effort used to assign subject headings 201508172104
Level of effort used to assign classification staff
Level of effort used to assign subject headings 201506090947
Level of effort used to assign classification staff
-- 201506090945
-- staff
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number ZHO [ Shelf 73 ]
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhou, Zhi-Hua,
Titles and words associated with a name Ph. D.
245 ## - TITLE STATEMENT
Title Ensemble methods :
Remainder of title foundations and algorithms /
Statement of responsibility, etc. Zhi-Hua Zhou.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
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 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC machine learning & pattern recognition series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note 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"--
Assigning source Provided by publisher.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiple comparisons (Statistics)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Set theory.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical analysis.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BUSINESS & ECONOMICS / Statistics
Source of heading or term bisacsh.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Database Management / Data Mining
Source of heading or term bisacsh.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Machine Theory
Source of heading or term bisacsh.
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Copy number Koha item type
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