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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |