Inactive Learning?

I totally stole the title from a paper (Attenberg & Provost, 2011) . In theory, Active Learning (AL) is a tremendous idea. You need labeled data, but your kind of labeling comes at a cost, e.g., you need to obtain them from a domain expert. Now, lets say, your goal is to use this labeled data to train a classifier that gets to a held-out accuracy of \(90\%\). If you randomly sampled points to…