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Understanding Hierarchical Processes

Hierarchical stochastic processes, such as the hierarchical Dirichlet process, hold an important position as a modelling tool in statistical machine learning, and are even used in deep neural networks. They allow, for instance, networks of probability vectors to be used in general statistical modell...

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Detalles Bibliográficos
Autor principal: Buntine, Wray
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777813/
https://www.ncbi.nlm.nih.gov/pubmed/36554108
http://dx.doi.org/10.3390/e24121703