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Bayesian Ensemble Trees (BET) for Clustering and Prediction in Heterogeneous Data
We propose a novel “tree-averaging” model that utilizes the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a subset of similar data. We treat this grouping of subsets as Bayesian Ensemble Trees (BET) and model them as a Dirichlet process. We show that...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4980076/ https://ncbi.nlm.nih.gov/pubmed/27524872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2015.1089774 |
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