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Computation of Kullback–Leibler Divergence in Bayesian Networks
Kullback–Leibler divergence [Formula: see text] is the standard measure of error when we have a true probability distribution p which is approximate with probability distribution q. Its efficient computation is essential in many tasks, as in approximate computation or as a measure of error when lear...
| 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/PMC8466032/ https://www.ncbi.nlm.nih.gov/pubmed/34573747 http://dx.doi.org/10.3390/e23091122 |