Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

This paper deals with a prediction problem of a new targeting variable corresponding to a new explanatory variable given a training dataset. To predict the targeting variable, we consider a model tree, which is used to represent a conditional probabilistic structure of a targeting variable given an...

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Detalles Bibliográficos
Autores principales: Dobashi, Nao, Saito, Shota, Nakahara, Yuta, Matsushima, Toshiyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234508/
https://www.ncbi.nlm.nih.gov/pubmed/34207209
http://dx.doi.org/10.3390/e23060768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234508/
https://www.ncbi.nlm.nih.gov/pubmed/34207209
http://dx.doi.org/10.3390/e23060768

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