This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Web service-based workflow management systems have garnered considerable attention for automating and scheduling dependent operations. Such systems often support user preferences,...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
The notion of control dependence underlies many program analysis and transformation techniques used in numerous applications. Despite wide application, existing definitions and ap...
Dependable digital signing service requires both high fault-tolerance and high intrusion-tolerance. While providing high fault-tolerance, existing approaches do not satisfy the hig...
Guofei Gu, Prahlad Fogla, Wenke Lee, Douglas M. Bl...