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Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance

Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between attributes in different situations). To reduc...

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Библиографические подробности
Главные авторы: LiMin Wang, Yang Liu, Musa Mammadov, MingHui Sun, Sikai Qi
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2019-05-01
Серии:Entropy
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Online-ссылка:https://www.mdpi.com/1099-4300/21/5/489
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