Abstract—Recent results have shown that the feasibility problem of scheduling periodic tasks with self-suspensions is NPhard in the strong sense. We observe that a variation of t...
Automatic adaptation of content for mobile devices is a challenging problem because optimal adaptation often depends on the usage semantics of content, as well as the context of u...
Iqbal Mohomed, Jim Chengming Cai, Sina Chavoshi, E...
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
—This paper presents a systematic in-depth study on the existence, importance, and application of stable nodes in peerto-peer live video streaming. Using traces from a real large...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...