Learning Bayesian networks from datasets joining continuous and discrete variables
نویسندگان
چکیده
منابع مشابه
Learning Discrete Bayesian Networks from Continuous Data
Real data often contains a mixture of discrete and continuous variables, but many Bayesian network structure learning and inference algorithms assume all random variables are discrete. Continuous variables are often discretized, but the choice of discretization policy has significant impact on the accuracy, speed, and interpretability of the resulting models. This paper introduces a principled ...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2016
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2016.07.003