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  • Scientific papers - Annals of "Dunarea de Jos" University of Galati - Analele științifice ale Universității "Dunărea de Jos" din Galați
  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics
  • Vezi articolul
  •   Pagina principală
  • Scientific papers - Annals of "Dunarea de Jos" University of Galati - Analele științifice ale Universității "Dunărea de Jos" din Galați
  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics
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Learning Bayesian Dependence Model for Student Modelling

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Dată
2008
Autor
Cocu, Adina
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Abstract
Learning a Bayesian network from a numeric set of data is a challenging task because of dual nature of learning process: initial need to learn network structure, and then to find out the distribution probability tables. In this paper, we propose a machine-learning algorithm based on hill climbing search combined with Tabu list. The aim of learning process is to discover the best network that represents dependences between nodes. Another issue in machine learning procedure is handling numeric attributes. In order to do that, we must perform an attribute discretization pre-processes. This discretization operation can influence the results of learning network structure. Therefore, we make a comparative study to find out the most suitable combination between discretization method and learning algorithm, for a specific data set.
URI
http://10.11.10.50/xmlui/handle/123456789/3917
Colecții
  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics [230]

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