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目前显示的是标签为“Intelligence”的博文

Predicting Academic Achievement of High-School Students Using Machine Learning

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51702#.VHVkW2fHRK0 Author(s) Hudson F. Golino 1* , Cristiano Mauro Assis Gomes 2 , Diego Andrade 2 Affiliation(s) 1 Núcleo de Pós-Graduacao, Pesquisa e Extensao, Faculdade Independente do Nordeste, Vitória da Conquista, Brazil . 2 Department of Psychology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil . ABSTRACT The present paper presents a relatively new non-linear method to predict academic achievement of high school students, integrating the fields of psychometrics and machine learning. A sample composed by 135 high-school students (10th grade, 50.34% boys), aged between 14 and 19 years old (M = 15.44, DP = 1.09), a...

Development and Reliability of the Indonesian Wechsler Adult Intelligence Scale—Fourth Edition (WAIS-IV)

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50253#.VDNPhlfHRK0 \ Author(s)    Christiany Suwartono 1,2* , Magdalena S. Halim 1 , Lidia L. Hidajat 1 , Marc P. H. Hendriks 2,3 , Roy P. C. Kessels 2,4 Affiliation(s) 1 Department of Psychology, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia . 2 Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands . 3 Department of Behavioural Sciences, Academic Centre of Epileptology, Kempenhaeghe, Heeze, The Netherlands . 4 Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands . ABSTRACT Through the years, several translated versions of Wechsler’s intelligence test h...

The Computational Theory of Intelligence: Information Entropy

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50204#.VDH94lfHRK0 Author(s)     Daniel Kovach 1* Affiliation(s) 1 Kovach Technologies, San Jose, CA, USA . ABSTRACT This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computation alintelligence is shown to be an entropy minimizing process at the local level. Using this new scheme, we develop a simple data driven clustering example and discuss its applications. KEYWORDS Machine Learning , Artificial Intelligence , Entropy , Computer Science , Intelligence ...