Leveraging Structural Information in Regression Tree Ensembles
Bayesian additive regression trees (BART) are a Bayesian machine learning tool for nonparametric function estimation, which has been shown to have outstanding performance in terms of variable selection and prediction accuracy. Unmodified, however, it has limitations when applied to certain tasks. Fo...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/2019_Fall_Du_fsu_0071E_15507 |