贝叶斯网络
计算机科学
R包
条件独立性
人工智能
约束(计算机辅助设计)
机器学习
独立性(概率论)
贝叶斯概率
程序设计语言
数学
统计
几何学
出处
期刊:Cornell University - arXiv
日期:2009-01-01
被引量:241
标识
DOI:10.48550/arxiv.0908.3817
摘要
bnlearn is an R package which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables. Both constraint-based and score-based algorithms are implemented, and can use the functionality provided by the snow package to improve their performance via parallel computing. Several network scores and conditional independence algorithms are available for both the learning algorithms and independent use. Advanced plotting options are provided by the Rgraphviz package.
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