A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
- The Cell Matrix Architecture is a massive array of dynamically self-configurable, uniformly connected, identical computational units. This architecture can enable efficient, prac...
Many geographic terms, such as "river" and "lake", are vague, with no clear boundaries of application. In particular, the spatial extent of such features is oft...
Business Process Verification (BPV) is increasingly important in emerging BPM Systems. Although many approaches related to BPV exist, the gap between formal models defined in previ...
We present in this paper a framework, RMOR, for monitoring the execution of C programs against state machines, expressed in a textual (nongraphical) format in files separate from t...