Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
This paper proposes an efficient hardware/software system that significantly enhances software security through diversified replication on multi-cores. Recent studies show that a ...
: Academic clock routing research results has often had limited impact on industry practice, since such practical considerations as hierarchical buffering, rise-time and overshoot ...
Object-oriented programming techniques have been used with great success for some time. But the techniques of object-oriented programming have been largely confined to the single a...