2 papers
cs.LG2026
StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
A. Yermekov, D. A. Herrera-MartÃ
Feature selection in high-dimensional genomic data () demands methods that are simultaneously accurate, sparse, and stable. Existing approaches either require manual thres…
q-bio.OT2026
StackFeat: a convergent algorithm for optimal predictor selection in genomic data
Akbar Yermekov, D. A. Herrera-MartÃ
In high-dimensional genomic data, the curse of dimensionality (d >> n) and limited sampling make feature selection inherently unstable - a critical barrier to biomarker discovery.…