This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
Peer-assisted streaming is a promising way for service providers to offer high-quality IPTV to consumers at reasonable cost. In peerassisted streaming, the peers exchange video ch...
Shao Liu, Rui Zhang-Shen, Wenjie Jiang, Jennifer R...