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 machinelearning to assign text to a given set of categories based on training sets
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 machinelearning and cybernetics 1 (2010) 43–52.
], and these stand to become more refined and powerful with the help of machinelearning 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
Authors:Samuel R. Chamberlain, Konstantinos Ioannidis, and Jon E. Grant
Grant , J. E.
( 2016 ). Problematic Internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machinelearning in psychiatry . Journal of Psychiatric Research, 83, 94 – 102 . doi: 10.1016/j.jpsychires.2016
Authors:Luigi Di Caro, Mario Cataldi, and Claudio Schifanella
al. ( 2010 ), the authors try to discover advisor-advisee relationships from research publication networks by using a machinelearning approach from labeled data. Our approach is instead completely unsupervised. In Feeney and Bernal ( 2010 ) the
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 machinelearning, smart chips and