Ensemble learning (Record no. 97741)

000 -LEADER
fixed length control field 02365nmm a2200397 a 4500
001 - CONTROL NUMBER
control field 00011325
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240731095201.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190228s2019 si a ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811201967
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 621.389/28
100 1# - AUTHOR NAME
Author Rokach, Lior.
245 10 - TITLE STATEMENT
Title Ensemble learning
Sub Title pattern classification using ensemble methods /
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific Publishing Co. Pte Ltd.,
Year of publication ©2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (300 p.) :
490 1# - SERIES STATEMENT
Series statement Series in machine perception and artificial intelligence ;
500 ## - GENERAL NOTE
Remark 1 2010 ed. entitled: Pattern classification using ensemble methods.
520 ## - SUMMARY, ETC.
Summary, etc "This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized. The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods."--
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/11325#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- Title from web page (viewed February 28, 2019)
520 ## - SUMMARY, ETC.
-- Publisher's website.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.

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