Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.

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Material type: Text

TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublisher: Boca Raton : Taylor & Francis, [2015]Copyright date: 2015Description: 1 online resource (227 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781482226676 (e-book)

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Genre/Form:

Electronic books.

Additional physical formats: Print version:: Computational trust models and machine learning.DDC classification:

006.3/1 23

LOC classification:

Q342 .C675 2015

Online resources:

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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.

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Includes bibliographical references and index.

"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.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.