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cognitive or social perspective. Linguists and computer scientists such as Teufel have begun to explore these issues, and their work can be highly sophisticated making use of machine learning to assign text to a given set of categories based on training sets

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annual workshop on computational learning theory . New York 1992, 144–152. 23 ZHANG, Y. – JIN, R. – ZHOU, Z.-H. : Understanding bag-of-words model: a statistical framework. International journal of machine learning and cybernetics 1 (2010) 43–52.

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], and these stand to become more refined and powerful with the help of machine learning neural networks [ 60 ]. These new tools, in the hands of chemists and engineers, have the potential to help improve decision making and accelerate research. As a

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. , & Grant , J. E. ( 2016 ). Problematic Internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry . Journal of Psychiatric Research, 83, 94 – 102 . doi: 10.1016/j.jpsychires.2016

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al. ( 2010 ), the authors try to discover advisor-advisee relationships from research publication networks by using a machine learning approach from labeled data. Our approach is instead completely unsupervised. In Feeney and Bernal ( 2010 ) the

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23 Machine learning ML 4 24 Multimedia Multimedia 4

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. , Niculescu-Mizil , A. , & Gryc , W. ( 2009 ). Topic-link LDA: Joint models of topic and author community . In ICML ’09 proceedings of the 26th annual international conference on machine learning

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– 479 . Bass , S.D. , Kurgan , L.A. ( 2010 ). Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology . Scientometrics , 82 ( 2 ), 217

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Paris lectures] . The Hague : Martinus Nijhoff , 1973. Jakulin , A. ( 2005 ). Machine learning based on attribute interactions . Unpublished PhD Thesis, Faculty of Computer and Information Science

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trigger a chain reaction that accelerates economic and social development. NGAIDP sets out a three-step policy for AI development: focussing on industry, technology and applications. For industry, it focuses primarily on machine learning, smart chips and

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