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A Gaussian Mixed Model for Learning Discrete Bayesian Networks

In this paper we address the problem of learning discrete Bayesian networks from noisy data. Considered is a graphical model based on mixture of Gaussian distributions with categorical mixing structure coming from a discrete Bayesian network. The network learning is formulated as a Maximum Likelihoo...

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書目詳細資料
主要作者: Balov, Nikolay
格式: Artigo
語言:Inglês
出版: 2011
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3046375/
https://ncbi.nlm.nih.gov/pubmed/21379362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2010.11.009
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