The Noisy-OR function is extensively used in probabilistic reasoning, and usually justified with heuristic arguments. This paper investigates sets of conditions that imply the No...
We investigate the use of probabilistic models and cost-benefit analyses to guide the operation of a Web-based question-answering system. We first provide an overview of research ...
David Azari, Eric Horvitz, Susan T. Dumais, Eric B...
Numerical possibility distributions can encode special convex families of probability measures. The connection between possibility theory and probability theory is potentially fru...
Twig queries have been extensively studied as a major fragment of XPATH queries to query XML data. In this paper, we study PXMLRANK query, (Q, k), which is to rank top-k probabili...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...