000			a
999			_c29697 _d29697
008			191119b xxu||||| |||| 00| 0 eng d
020			_a9781482226669
082			_a006.31 _bLIU
100			_aLiu, Xin
245			_aComputational trust models and machine learning
260			_aBoca Raton _bChapman and Hall/CRC _c2014
300			_axxiv, 208 p. _bill. _c24 cm.
365			_b95.99 _cGBP _d93.50
490			_aChapman &​ Hall/​CRC machine learning &​ pattern recognition series
504			_aIncludes bibliographical references and index.
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"
650			_aComputational intelligence
650			_aMachine learning
650			_aMathematical models
650			_aTruthfulness and falsehood
700			_aDatta, Anwitaman
700			_aLim, Ee-Peng
942			_2ddc _cBK