In this paper, we propose a new topology inference technique that aims to reveals how ISPs deploy their layer two and three networks at the POP level, without relying on ISP core n...
This paper develops a statistical inference approach, Bayesian Tensor Inference, for style transformation between photo images and sketch images of human faces. Motivated by the r...
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how...
Thomas DuBois, Jennifer Golbeck, Aravind Srinivasa...
Abstract. In previous work, we described a new approach to supporting userdefined type qualifiers, which augment existing types to specify and check additional properties of intere...
Brian Chin, Shane Markstrum, Todd D. Millstein, Je...