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Gibbs ensembles for incompatible dependency networks
In most statistical applications, the Gibbs sampler is the method of choice for inference regarding conditionally specified distributions that are compatible. Compatibility ensures that a unique Gibbs distribution exists. For machine learning of complex models such as dependency networks, the condit...
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| Vydáno v: | Wiley Interdiscip Rev Comput Stat |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5129636/ https://ncbi.nlm.nih.gov/pubmed/27917257 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/wics.1273 |
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