In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
: Today, it has become very popular to represent 3D CG models onto the screen of a workstation or personal computer. In almost all software that displays 3D models, users can contr...
We study the strengths, weaknesses, and potential synergies of two complementary worm quarantine defense strategies under various worm attack profiles. We observe their abilities ...
Phillip A. Porras, Linda Briesemeister, Keith Skin...
The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...