Learning Bayesian Dependence Model for Student Modelling
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 se...
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| Format: | Article |
| Language: | English |
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Universitatea Dunarea de Jos
2008-12-01
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| Series: | Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică |
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| Online Access: | http://www.ann.ugal.ro/eeai/archives/2008/Lucrare-2-5-Cocu-p26-30.pdf |