Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
—Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes — the su...
: This paper investigates the accuracy of the linear model estimate that forms a part of an overall Hammerstein model structure. A key finding here is that the process of estimatin...
Hybrid systems like computer-controlled chemical plants are typical safety critical distributed systems. In present practice, the safety of hybrid systems is guaranteed by hazard ...