Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
Curating information from the literature for storage in databases is a crucial task in biological research, and many groups assign a particular person or team to that process. We ...
Traditional access control models, such as Role-Based Access Control (RBAC), do not take into account contextual information, such as location and time, for making access decision...