Abstract. There has been an increased interest in recent years to incorporate uncertainty in Description Logics (DLs), and a number of proposals have been put forward for modeling ...
Preferences in constraint problems are common but significant in many real world applications. In this paper, we extend our conditional and composite CSP (CCCSP) framework, managi...
Graphics processors are continuing their trend of vastly outperforming CPUs while becoming more general purpose. The latest generation of graphics processors have introduced the a...
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
A number of organizations publish microdata for purposes such as public health and demographic research. Although attributes of microdata that clearly identify individuals, such a...