Cargando…
On optimal Bayesian classification and risk estimation under multiple classes
A recently proposed optimal Bayesian classification paradigm addresses optimal error rate analysis for small-sample discrimination, including optimal classifiers, optimal error estimators, and error estimation analysis tools with respect to the probability of misclassification under binary classes....
Autores principales: | Dalton, Lori A., Yousefi, Mohammadmahdi R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619473/ https://www.ncbi.nlm.nih.gov/pubmed/26523135 http://dx.doi.org/10.1186/s13637-015-0028-3 |
Ejemplares similares
-
Optimal cancer prognosis under network uncertainty
por: Yousefi, Mohammadmahdi R, et al.
Publicado: (2015) -
Data Requirements for Model-Based Cancer Prognosis Prediction
por: Dalton, Lori A., et al.
Publicado: (2016) -
A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty
por: Yousefi, Mohammadmahdi R, et al.
Publicado: (2014) -
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure
por: Foroughi pour, Ali, et al.
Publicado: (2018) -
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty
por: Hajiramezanali, Ehsan, et al.
Publicado: (2019)