By Xin Liu,Anwitaman Datta,Ee-Peng Lim
Computational belief versions and laptop Learning presents a close advent to the concept that of belief and its program in numerous computing device technological know-how components, together with multi-agent platforms, on-line social networks, and conversation structures. settling on belief modeling demanding situations that can not be addressed by way of conventional methods, this book:
- Explains how reputation-based platforms are used to figure out belief in varied on-line communities
- Describes how laptop studying innovations are hired to construct powerful recognition systems
- Explores distinct methods to picking credibility of resources—one the place the human function is implicit, and person who leverages human enter explicitly
- Shows how selection help will be facilitated by means of computational belief models
- Discusses collaborative filtering-based belief acutely aware 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 clear out outlying opinions
Computational belief versions and desktop studying effectively demonstrates how novel laptop studying ideas can enhance the accuracy of belief assessment.
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Additional 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