People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is cru...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Set-based analysis is a constraint-based whole program analysis that is applicable to functional and objectoriented programming languages. Unfortunately, the analysis is useless f...
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
We consider packet scheduling in a network providing differentiated services, where each packet is assigned a value. We study various queueing models for supporting QoS (Quality ...