The huge amount of the available information in the Web creates the need of effective information extraction systems that are able to produce metadata that satisfy user's inf...
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
: DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of u...
David Becker, William McMullen, Kevin Hetherington...