Computational Trust Models and Machine Learning - Info and Reading Options
By Liu, Xin (Mathematician), Anwitaman Datta and Ee-Peng Lim
"Computational Trust Models and Machine Learning" was published by Taylor & Francis Group in 2014 - Hoboken, it has 232 pages and the language of the book is English.
“Computational Trust Models and Machine Learning” Metadata:
- Title: ➤ Computational Trust Models and Machine Learning
- Authors: Liu, Xin (Mathematician)Anwitaman DattaEe-Peng Lim
- Language: English
- Number of Pages: 232
- Publisher: Taylor & Francis Group
- Publish Date: 2014
- Publish Location: Hoboken
“Computational Trust Models and Machine Learning” Subjects and Themes:
- Subjects: ➤ Computational intelligence - Machine learning - Truthfulness and falsehood - Mathematical models - COMPUTERS / Machine Theory - COMPUTERS / Software Development & Engineering / Systems Analysis & Design - TECHNOLOGY & ENGINEERING / Electronics / General - Intelligence informatique - Apprentissage automatique - Mensonge - Modèles mathématiques - COMPUTERS - General
Edition Identifiers:
- The Open Library ID: OL33504127M - OL23200294W
- ISBN-13: 9781482226676 - 9781482226669
- All ISBNs: 9781482226676 - 9781482226669
AI-generated Review of “Computational Trust Models and Machine Learning”:
"Computational Trust Models and Machine Learning" Description:
Open Data:
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book:Explains how reputation-based systems are used to determine trust in diverse online communitiesDescribes how machine learning techniques are employed to build robust reputation systemsExplores two distinctive approaches to determining credibility of resource
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