Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Soft errors are a growing concern for processor reliability. Recent work has motivated architecture-level studies of soft errors since the architecture can mask many raw errors an...
Xiaodong Li, Sarita V. Adve, Pradip Bose, Jude A. ...
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
Along with the popularity of software-intensive systems, the interactions between system components and between humans and software applications are becoming more and more complex...
Information integrity in cache memories is a fundamental requirement for dependable computing. Conventional architectures for enhancing cache reliability using check codes make it...