We investigate the formal relationship between separability of processes and the types of non-interference properties they enjoy. Though intuitively appealing, separability – th...
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Multimedia content is a dominant fraction of Internet usage today. At the same time, there is significant heterogeneity in video presentation modes and operating conditions of Int...
In the arena of automated negotiations we focus on the principal negotiation protocol in bilateral settings, i.e. the alternatingoffers protocol. In the scientific community it is...