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

Format:

Book

Contributor:

Liu, Xin (Mathematician)

Datta, Anwitaman.

Lim, Ee-Peng.

Series:

Chapman & Hall/CRC machine learning & pattern recognition series

Language:

English

Subjects (All):

Computational intelligence.

Machine learning.

Truthfulness and falsehood--Mathematical models.

Truthfulness and falsehood.

Mathematical models.

Physical Description:

xxiv, 208 pages : illustrations ; 24 cm.

Place of Publication:

Boca Raton : Taylor & Francis, 2014.

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.

Notes:

Includes bibliographical references and index.

ISBN:

9781482226669

1482226669

OCLC:

884440170