Computational trust models and machine learning /
Computational trust models and machine learning /
editors, Xin Liu, Anwitaman Datta, Ee-Peng Lim.
- xxiv, 208 pages : illustrations ; 24 cm.
- Chapman & Hall/CRC machine learning & pattern recognition series .
- Chapman & Hall/CRC machine learning & pattern recognition series .
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'--
9781482226669 RM458.09
Computational intelligence.
Machine learning.
Truthfulness and falsehood--Mathematical models.
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'--
9781482226669 RM458.09
Computational intelligence.
Machine learning.
Truthfulness and falsehood--Mathematical models.