Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
Usually, the success of systems using automatic course sequencing depends strongly on careful authoring and foreseeing of all curriculum alternatives before any learning session e...
Deaf and hard of hearing students are an underrepresented group in computing and face extra challenges in university-level computing courses. This paper describes a 9-week Summer ...
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...