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目前显示的是标签为“Prediction”的博文

Overview of Tide Characteristics in Cameroon Coastal Areas Using Recent Observations

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53131#.VLXUEMnQrzE Author(s) R. Onguene 1,2,3* , E. Pemha 4 , F. Lyard 2 , Y. Du-Penhoat 2 , G. Nkoue 5 , T. Duhaut 3 , E. Njeugna 1 , P. Marsaleix 3 , R. Mbiake 1 , S. Jombe 6 , D. Allain 2   Affiliation(s) 1 Multidisciplinary Climate Change Research Laboratory, University of Douala, Douala, Cameroon . 2 LEGOS/OMP UMR 5566 (CNES-CNRS-IRD-UPS), Toulouse, France . 3 Laboratoire d’Aérologie, CNRS and Toulouse University, Toulouse, France . 4 Laboratory of Applied Mechanics and Hydraulic, Faculty of science, University of Yaounde I, Yaounde, Cameroon . 5 Faculty of Science, University of Douala, Douala, Cameroon . 6 DOUALA Harbour, Douala, Cameroon . ABSTRACT Time series of sea level heights have been collected at different stations along the Cameroon coast.   The dataset covers a period ranging from 2007 to 2012. Tide data measured by float type recorders  ...

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...