Novel binary encoding water cycle algorithm for solving Bayesian network structures learning problem
Constructing Bayesian network structures from data is a computationally hard task. One important method to learn Bayesian network structures uses the meta-heuristic algorithms. In this paper, a novel binary encoding water cycle algorithm is proposed for the first time to address the Bayesian network...
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Veröffentlicht in: | Knowledge-based systems 2018-06, Vol.150, p.95-110 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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