MARC Record from Library of Congress

LEADER: 02000cam a22003858i 4500
001 2014028238
003 DLC
005 20151203080827.0
008 140718s2014 flu b 001 0 eng
010 $a 2014028238
020 $a9781482226669 (hardback)
040 $aDLC$beng$cDLC$erda
042 $apcc
050 00 $aQ342$b.C675 2014
082 00 $a006.3/1$223
084 $aCOM037000$aCOM051240$aTEC008000$2bisacsh
245 00 $aComputational trust models and machine learning /$ceditors, Xin Liu, Anwitaman Datta, Ee-Peng Lim.
263 $a1508
264 1 $aBoca Raton :$bTaylor & Francis,$c2014.
300 $apages cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 0 $aChapman & Hall/CRC machine learning & pattern recognition series
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.
650 0 $aComputational intelligence.
650 0 $aMachine learning.
650 0 $aTruthfulness and falsehood$xMathematical models.
650 7 $aCOMPUTERS / Machine Theory.$2bisacsh
650 7 $aCOMPUTERS / Software Development & Engineering / Systems Analysis & Design.$2bisacsh
650 7 $aTECHNOLOGY & ENGINEERING / Electronics / General.$2bisacsh
700 1 $aLiu, Xin$c(Mathematician)
700 1 $aDatta, Anwitaman.
700 1 $aLim, Ee-Peng.