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Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations
In classification, prior knowledge is incorporated in a Bayesian framework by assuming that the feature-label distribution belongs to an uncertainty class of feature-label distributions governed by a prior distribution. A posterior distribution is then derived from the prior and the sample data. An...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720709/ https://www.ncbi.nlm.nih.gov/pubmed/26834782 http://dx.doi.org/10.1186/s13637-016-0036-y |