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001400518 020__ $$z9781482226669 (hardback)
001400518 020__ $$a9781482226676 (e-book)
001400518 035__ $$a(MiAaPQ)EBC1683480
001400518 035__ $$a(Au-PeEL)EBL1683480
001400518 035__ $$a(CaPaEBR)ebr10961793
001400518 035__ $$a(CaONFJC)MIL695028
001400518 035__ $$a(OCoLC)894169847
001400518 040__ $$aMiAaPQ$$beng$$erda$$epn$$cMiAaPQ$$dMiAaPQ
001400518 050_4 $$aQ342$$b.C675 2015
001400518 0820_ $$a006.3/1$$223
001400518 24500 $$aComputational trust models and machine learning /$$cedited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
001400518 264_1 $$aBoca Raton :$$bTaylor & Francis,$$c[2015]
001400518 264_4 $$c©2015
001400518 300__ $$a1 online resource (227 pages) :$$billustrations.
001400518 336__ $$atext$$2rdacontent
001400518 337__ $$acomputer$$2rdamedia
001400518 338__ $$aonline resource$$2rdacarrier
001400518 4901_ $$aChapman & Hall/CRC machine learning & pattern recognition series
001400518 504__ $$aIncludes bibliographical references and index.
001400518 506__ $$aAccess limited to authorized users.
001400518 520__ $$a"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"--$$cProvided by publisher.
001400518 588__ $$aDescription based on print version record.
001400518 650_0 $$aComputational intelligence.
001400518 650_0 $$aMachine learning.
001400518 650_0 $$aTruthfulness and falsehood$$xMathematical models.
001400518 655_0 $$aElectronic books
001400518 7001_ $$aLiu, Xin$$c(Mathematician),$$eeditor.
001400518 7001_ $$aDatta, Anwitaman,$$eeditor.
001400518 7001_ $$aLim, Ee-Peng,$$eeditor.
001400518 77608 $$iPrint version:$$tComputational trust models and machine learning.$$dBoca Raton : Taylor & Francis, [2015]$$z9781482226669$$w(DLC)10961793
001400518 830_0 $$aChapman & Hall/CRC machine learning & pattern recognition series.
001400518 852__ $$bebk
001400518 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1683480$$zOnline Access
001400518 909CO $$ooai:library.usi.edu:1400518$$pGLOBAL_SET
001400518 980__ $$aBIB
001400518 980__ $$aEBOOK
001400518 982__ $$aEbook
001400518 983__ $$aOnline