Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Aspect-Oriented Programming (AOP) is a powerful technique to better modularize object-oriented programs by introducing crosscutting concerns in a safe and noninvasive way. Unfortu...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
This paper presents arguments that explicit strategies for visual attentional selection are important for cognitive vision systems, and shows that a number of proposals currently ...