MARC Record from marc_columbia

LEADER: 03542cam a2200625 i 4500
001 14693918
005 20221119232635.0
006 m o d
007 cr cnu---unuuu
008 141101t20152015flua ob 001 0 eng d
035 $a(OCoLC)ocn894169847
035 $a(NNC)14693918
040 $aEBLCP$beng$erda$epn$cEBLCP$dN$T$dCUS$dN$T$dWAU$dE7B$dUIU$dYDXCP$dUMI$dIDEBK$dCOO$dDEBBG$dDEBSZ$dOCLCQ$dMERUC$dOCLCQ$dOCLCF$dOCLCQ$dYDX$dNRC$dUWW$dOCLCQ$dK6U$dOCLCO$dOCLCQ
019 $a896849770$a899591117$a900464536
020 $a9781482226676$q(electronic bk.)
020 $a1482226677$q(electronic bk.)
020 $a9781322637464$q(MyiLibrary)
020 $a1322637466$q(MyiLibrary)
020 $z9781482226669
020 $z1482226669
035 $a(OCoLC)894169847$z(OCoLC)896849770$z(OCoLC)899591117$z(OCoLC)900464536
037 $aCL0500000532$bSafari Books Online
050 4 $aQ342$b.C675 2015eb
072 7 $aCOM$x000000$2bisacsh
082 04 $a006.3/1$223
049 $aZCUA
245 00 $aComputational trust models and machine learning /$cedited by Xin Liu, EPFL Lausanne, Switzerland, Anwitaman Datta, Nanyang Technological University Singapore, Ee-Peng Lim, Singapore Management University.
264 1 $aBoca Raton, FL :$bCRC Press,$c[2015]
264 4 $c©2015
300 $a1 online resource (xxiv, 208 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC machine learning & pattern recognition series
500 $a"A Chapman & Hall book."
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
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $a1. Introduction -- 2. Trust in online communities -- 3. Judging the veracity of claims and reliability of sources -- 4. Web credibility assessment -- 5. Trust-aware recommender systems -- 6. Biases in trust-based systems.
650 0 $aComputational intelligence.
650 0 $aMachine learning.
650 0 $aTruthfulness and falsehood$xMathematical models.
650 6 $aIntelligence informatique.
650 6 $aApprentissage automatique.
650 6 $aMensonge$xModèles mathématiques.
650 7 $aCOMPUTERS$xGeneral.$2bisacsh
650 7 $aComputational intelligence.$2fast$0(OCoLC)fst00871995
650 7 $aMachine learning.$2fast$0(OCoLC)fst01004795
700 1 $aLiu, Xin$c(Mathematician),$eeditor.
700 1 $aDatta, Anwitaman,$eeditor.
700 1 $aLim, Ee-Peng,$eeditor.
776 08 $iPrint version:$tComputational trust models and machine learning.$dBoca Raton : CRC Press, 2014$z9781482226669$w(DLC) 2014028238$w(OCoLC)884440170
830 0 $aChapman & Hall/CRC machine learning & pattern recognition series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14693918$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS