Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma mixture model-based approach for proportio...

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Detalles Bibliográficos
Autores principales: Bourouis, Sami, Pawar, Yogesh, Bouguila, Nizar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749844/
https://www.ncbi.nlm.nih.gov/pubmed/35009726
http://dx.doi.org/10.3390/s22010186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749844/
https://www.ncbi.nlm.nih.gov/pubmed/35009726
http://dx.doi.org/10.3390/s22010186

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