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Computational Trust Models and Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)

From Chapman and Hall/CRC




[PDF.cy91] Computational Trust Models and Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)

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 | #5175834 in Books |  2014-10-29 | Original language:English | PDF # 1 |  9.20 x.80 x6.20l,.0 | File type: PDF | 232 pages

||About the Author||Xin Liu is currently a postdoctoral researcher in the Laboratoire de Systèmes d'Informations Répartis, led by Professor Karl Aberer, at École Polytechnique Fédérale de Lausanne (EPFL), Switzer

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 communities
    You can specify the type of files you want, for your gadget.Computational Trust Models and Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)   |  From Chapman and Hall/CRC.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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