Cargando…
A probabilistic metric for the validation of computational models
A new validation metric is proposed that combines the use of a threshold based on the uncertainty in the measurement data with a normalized relative error, and that is robust in the presence of large variations in the data. The outcome from the metric is the probability that a model's predictio...
Autores principales: | Dvurecenska, Ksenija, Graham, Steve, Patelli, Edoardo, Patterson, Eann A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281947/ https://www.ncbi.nlm.nih.gov/pubmed/30564387 http://dx.doi.org/10.1098/rsos.180687 |
Ejemplares similares
-
Correction to ‘A probabilistic metric for the validation of computational models’
por: Dvurecenska, Ksenija, et al.
Publicado: (2019) -
Building probabilistic graphical models with Python
por: Karkera, Kiran R
Publicado: (2014) -
Computer vision metrics: survey, taxonomy, and analysis
por: Krig, Scott
Publicado: (2014) -
Mastering probabilistic graphical models using Python
por: Ankan, Ankur, et al.
Publicado: (2015) -
Practical probabilistic programming
por: Pfeffer, Avi
Publicado: (2016)