By Xin Liu,Anwitaman Datta,Ee-Peng Lim
Computational belief types and laptop Learning presents an in depth creation to the idea that of belief and its software in numerous desktop technology parts, together with multi-agent platforms, on-line social networks, and conversation structures. choosing belief modeling demanding situations that can not be addressed by means of conventional methods, this book:
- Explains how reputation-based structures are used to figure out belief in diversified on-line communities
- Describes how computing device studying concepts are hired to construct strong popularity systems
- Explores unique methods to choosing credibility of resources—one the place the human function is implicit, and one who leverages human enter explicitly
- Shows how determination aid may be facilitated through computational belief models
- Discusses collaborative filtering-based belief conscious advice systems
- Defines a framework for translating a belief modeling challenge right into a studying problem
- Investigates the objectivity of human suggestions, emphasizing the necessity to filter outlying opinions
Computational belief types and computer studying effectively demonstrates how novel desktop studying recommendations can enhance the accuracy of belief assessment.
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Extra resources for Computational Trust Models and Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)
Computational Trust Models and Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series) by Xin Liu,Anwitaman Datta,Ee-Peng Lim