Computational trust models and machine learning /

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 l...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser:
Liu, Xin, Datta, Anwitaman, Lim, Ee-Peng
Weitere Verfasser:
Liu, Xin (Mathematician) (HerausgeberIn), Datta, Anwitaman (HerausgeberIn), Lim, Ee-Peng (HerausgeberIn)
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boca Raton : Taylor & Francis, [2015]
Ausgabe:
1st edition
Zusammenfassung:
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 resource (227 p.)
text file
Anmerkungen:
A Chapman and Hall book.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references and index.
ISBN:
9781040072240
1040072240
9780429159480
042915948X
9781482226676
1482226677
Schlagworte:
Computational intelligence.
Machine learning.
Truthfulness and falsehood > Mathematical models.
Bezugswerke:
Links: