Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
Abstract: Active learning has been widely used because it can automatically select the unlabeled samples with the largest amount of information for manual labeling. Therefore, it could solve the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results