Search Results for author:
Found 2 papers, 0 papers with code
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
Unfortunately, models built on feature sets obtained from the ensemble of feature selection algorithms were no better than for models developed on feature sets obtained from individual algorithms.
Bootstrap Bias Corrected Cross Validation applied to Super Learning
The default method for verification of super learner results is by nested cross validation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
