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Scalable Bayesian Nonparametric Clustering and Classification
We develop a scalable multi-step Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification. Each step is “embarrassingly parallel” and can be implemented using the same Markov chain Monte Carlo sampler. The simplicity and generality of...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7518195/ https://ncbi.nlm.nih.gov/pubmed/32982129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2019.1624366 |
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