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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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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2011
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| Предметы: | |
| Online-ссылка: | 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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