Computational trust models and machine learning:
Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Liu, Xin (HerausgeberIn), Datta, Anwitaman (HerausgeberIn), Lim, Ee-Peng (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Boca Raton Taylor & Francis [2015]
Schriftenreihe:Chapman & Hall/CRC machine learning & pattern recognition series
Schlagwörter:
Links:https://doi.org/10.1201/b17778
https://doi.org/10.1201/b17778
Beschreibung: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"--
Umfang:1 Online-Ressource (227 pages)
ISBN:9781482226676
9780429159480