This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
This paper proposes an approach called SCoPE, which supports user-defined analysis-based pointcuts in aspect-oriented programming (AOP) languages. The advantage of our approach is...
—Verification is a major issue in circuit and system design. Formal methods like bounded model checking (BMC) can guarantee a high quality of the verification. There are severa...
Attacks often exploit memory errors to gain control over the execution of vulnerable programs. These attacks remain a serious problem despite previous research on techniques to pr...