Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis
{{output}}
This paper investigates variable selection (VS) and classification for biomedical datasets with a small sample size and a very high input dimension. The sequential sparse Bayesian learning methods with linear bases are used as the basic VS algorithm. Selected ... ...
