Many of today’s complex systems are multithreaded servers that effectively run forever and need to work under varying loads and environments. Understanding the behavior of such ...
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
This paper presents an interactive visualization toolkit for navigating and analyzing the National Science Foundation (NSF) funding information. Our design builds upon the treemap...
Table analysis is a complex problem, involving searching solutions from a large search space. Studies show that finding the most credible answers to complex problems often requir...
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...