Enhancing SVM for survival data using local invariances and weighting

Enhancing SVM for survival data using local invariances and weighting

Abstract Background The necessity to analyze medium-throughput data in epidemiological studies with small sample size, particularly when studying biomedical data may hinder the use of classical statistical methods. Support vector machines (SVM) models can be successfully applied in this setting beca...

Full description

Bibliographic Details
Main Authors: Hector Sanz, Ferran Reverter, Clarissa Valim
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Bioinformatics
Subjects:
Support vector machines
Survival analysis
Kernel
Classification
Online Access:http://link.springer.com/article/10.1186/s12859-020-3481-2

Internet

http://link.springer.com/article/10.1186/s12859-020-3481-2

Similar Items