Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
The increased complexity, heterogeneity and the dynamism of networked systems and services make current control and management tools to be ineffective in managing and securing suc...
With an ever-growing number of computers being embedded into our surroundings, the era of ubiquitous computing is approaching fast. However, as the number of networked devices incr...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...