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 ...
—Intermodal freight transportation is defined as a system that carries freight from origin to destination by using two or more transportation modes. In this system, hubs are one ...
Koen H. van Dam, Zofia Verwater-Lukszo, Luis Ferre...
The use of formal model based (FMB) methods to evaluate the quality of the components is an important research area. Except for a growing number of exceptions, FMB methods are sti...
Hye Yeon Kim, Kshamta Jerath, Frederick T. Sheldon
New approaches are considered for performance enhancement of discrete-event simulation software. Instead of taking a purely algorithmic analysis view, we supplement algorithmic co...
Alex Bahouth, Steven Crites, Norman Matloff, Todd ...
The paper presents a novel high-level power modeling and estimation framework. The approach is based on a synergic integration of aspect-oriented programming(AOP) and SystemC. Mac...