Improved variance estimation of classification performance via reduction of bias caused by small sample size

BACKGROUND: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm that the classifier is robust with good generalization performance to new examples, or at least that it performs better than...

Descripción completa

Detalles Bibliográficos
Autores principales: Wickenberg-Bolin, Ulrika, Göransson, Hanna, Fryknäs, Mårten, Gustafsson, Mats G, Isaksson, Anders
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1435937/
https://www.ncbi.nlm.nih.gov/pubmed/16533392
http://dx.doi.org/10.1186/1471-2105-7-127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1435937/
https://www.ncbi.nlm.nih.gov/pubmed/16533392
http://dx.doi.org/10.1186/1471-2105-7-127

Ejemplares similares