The problem of active learning can be considered as a special case of reinforcement learning (Sanjoy Dasgupta noted it). We can consider it as learning a policy (which selects new data point) that maximizes the increase in some classification performance, e.g. empirical risk, our estimate about structural risk, or anything similar.
Hi, Amir!
First, I am really sorry for what happened in your country when the airplane C-130 fell into a civilian house area, killing, at least, one hundred persons. :/
Well, very nice that you liked the post about Genetic Algorithm and Dentistry. π
There are no so much applications like that, I guess. π
AtΓΖΓΒ© Mais!!
Marcelo
Thank you very much for your condolence.
It is just interesting that these kinds of catastrophes happen regularly once in a few months.