People with chronic health problems use online resources to understand and manage their condition, but many such resources can present competing and confusing viewpoints. We surve...
Jennifer Mankoff, Kateryna Kuksenok, Sara B. Kiesl...
— Possibilistic logic is essentially a formalism for handling qualitative uncertainty with an inference machinery that remains close to the one of classical logic. It is capable ...
Partially preordered belief bases are very convenient for an efficient representation of incomplete knowledge. They offer flexibility and avoid to compare unrelated pieces of inf...
Belief propagation has become a popular technique for solving computer vision problems, such as stereo estimation and image denoising. However, it requires large memory and bandwi...
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...