Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
2015
Q342 .C675 2015
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Details
Title
Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
ISBN
9781482226669 (hardback)
9781482226676 (e-book)
9781482226676 (e-book)
Published
Boca Raton : Taylor & Francis, [2015]
Copyright
©2015
Language
English
Description
1 online resource (227 pages) : illustrations.
Call Number
Q342 .C675 2015
Dewey Decimal Classification
006.3/1
Summary
"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"-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Chapman & Hall/CRC machine learning & pattern recognition series.
Available in Other Form
Computational trust models and machine learning.
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