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Bibliografická citace

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EB
ONLINE
Boca Raton : Taylor & Francis, [2015]
1 online resource (227 pages) : illustrations
Externí odkaz    Plný text PDF 
   * Návod pro vzdálený přístup 


ISBN 9781482226676 (e-book)
ISBN 9781482226669 (hardback)
Chapman & Hall/CRC machine learning & pattern recognition series
Print version: Computational trust models and machine learning. Boca Raton : Taylor & Francis, [2015] Chapman & Hall/CRC machine learning & pattern recognition series ISBN 9781482226669
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..
001775696
full
(Au-PeEL)EBL1683480
(CaONFJC)MIL695028
(CaPaEBR)ebr10961793
(MiAaPQ)EBC1683480
(OCoLC)894169847

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