Abstract. We propose an approach to scenario-based analysis and synthesis of real-time embedded systems. The inter-process behaviors of a system are modeled as a set of driving uni...
Kim Guldstrand Larsen, Shuhao Li, Brian Nielsen, S...
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Fault tolerance requirements for near term disk array storage systems are analyzed. The excellent reliability provided by RAID Level 5 data organization is seen to be insu cient f...
—This paper describes a new logic-based approach for representing and reasoning about metabolic networks. First it shows how biological pathways can be elegantly represented in a...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...