A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Distributed proof construction protocols have been shown to be valuable for reasoning about authorization decisions in open distributed environments such as pervasive computing sp...
Multicast network services advantageously complement multimedia information and communication technologies, as they open up the realm for highly scalable multicustomer application...