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...
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Abstract. It is becoming more common for researchers to find themselves in a position of being able to take over control of a malicious botnet. If this happens, should they use thi...
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...