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Last edited by ImportBot
July 19, 2023 | History

Computational trust models and machine learning

  • 1 Want to read

"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"--

Publish Date
Language
English
Pages
208

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Previews available in: English

Edition Availability
Cover of: Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning
2020, Taylor & Francis Group
in English
Cover of: Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning
2014, Taylor & Francis Group
in English
Cover of: Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning
2014, Taylor & Francis Group
in English
Cover of: Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning
2014, Taylor & Francis Group
in English
Cover of: Computational trust models and machine learning
Computational trust models and machine learning
2014, Taylor & Francis, CRC Press
in English

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Book Details


Edition Notes

Includes bibliographical references and index.

Published in
Boca Raton
Series
Chapman & Hall/CRC machine learning & pattern recognition series

Classifications

Dewey Decimal Class
006.3/1
Library of Congress
Q342 .C675 2014, Q342.C675 2014, Q342 .C675 2015eb

The Physical Object

Pagination
pages cm
Number of pages
208

ID Numbers

Open Library
OL31034274M
Internet Archive
isbn_9781482226669
ISBN 13
9781482226669
LCCN
2014028238
OCLC/WorldCat
894169847, 884440170

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History

Download catalog record: RDF / JSON
July 19, 2023 Edited by ImportBot import existing book
December 16, 2022 Edited by MARC Bot import existing book
November 13, 2020 Created by MARC Bot import new book