Cargando…
Probability Distribution on Full Rooted Trees
The recursive and hierarchical structure of full rooted trees is applicable to statistical models in various fields, such as data compression, image processing, and machine learning. In most of these cases, the full rooted tree is not a random variable; as such, model selection to avoid overfitting...
Autores principales: | Nakahara, Yuta, Saito, Shota, Kamatsuka, Akira, Matsushima, Toshiyasu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947532/ https://www.ncbi.nlm.nih.gov/pubmed/35327839 http://dx.doi.org/10.3390/e24030328 |
Ejemplares similares
-
Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction
por: Dobashi, Nao, et al.
Publicado: (2021) -
Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion †
por: Nakahara, Yuta, et al.
Publicado: (2022) -
A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It †
por: Nakahara, Yuta, et al.
Publicado: (2021) -
Essential Conditions for the Full Synergy of Probability of Occurrence Distributions
por: Mondaini, Rubem P., et al.
Publicado: (2022) -
Rooting phylogenetic trees under the coalescent model using site pattern probabilities
por: Tian, Yuan, et al.
Publicado: (2017)