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Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning
Classification has been a major task for building intelligent systems because it enables decision-making under uncertainty. Classifier design aims at building models from training data for representing feature-label distributions—either explicitly or implicitly. In many scientific or clinical settin...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058919/ https://www.ncbi.nlm.nih.gov/pubmed/35510184 http://dx.doi.org/10.1016/j.patter.2021.100428 |