000 02365nmm a2200397 a 4500
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007 cr |uu|||uu|||
008 190228s2019 si a ob 001 0 eng d
040 _aWSPC
_beng
_cWSPC
020 _a9789811201967
_q(ebook)
020 _z9789811201950
_q(hbk.)
050 0 4 _aTK7882.P3
_bR65 2019
082 0 4 _a621.389/28
_223
100 1 _aRokach, Lior.
_93909
245 1 0 _aEnsemble learning
_h[electronic resource] :
_bpattern classification using ensemble methods /
_cLior Rokach.
246 3 0 _aPattern classification using ensemble methods
250 _a2nd ed.
260 _aSingapore :
_bWorld Scientific Publishing Co. Pte Ltd.,
_c©2019.
300 _a1 online resource (300 p.) :
_bill.
490 1 _aSeries in machine perception and artificial intelligence ;
_vv. 85
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
588 _aTitle from web page (viewed February 28, 2019)
500 _a2010 ed. entitled: Pattern classification using ensemble methods.
504 _aIncludes bibliographical references and index.
520 _a"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."--
_cPublisher's website.
650 0 _aPattern recognition systems.
_93953
650 0 _aAlgorithms.
_93390
650 0 _aMachine learning.
_91831
655 0 _aElectronic books.
_93294
830 0 _aSeries in machine perception and artificial intelligence ;
_vv. 85.
_9178297
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/11325#t=toc
_zAccess to full text is restricted to subscribers.
942 _cEBK
999 _c97741
_d97741