The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Property specifications concisely describe aspects of what a system is supposed to do. No matter what notation is used to describe them, however, it is difficult to represent thes...
Rachel L. Cobleigh, George S. Avrunin, Lori A. Cla...
One of the benefits of finite-state verification (FSV) tools, such as model checkers, is that a counterexample is provided when the property cannot be verified. Not all counterexa...
Jianbin Tan, George S. Avrunin, Lori A. Clarke, Sh...
Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focuse...
Jae-wook Ahn, Peter Brusilovsky, Daqing He, Jonath...
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...