Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
This paper describes a novel methodology for predicting fault prone modules. The methodology is based on Dempster-Shafer (D-S) belief networks. Our approach consists of three step...
With increasing chip interconnect distances, openinterconnect is becoming an important defect. The main challenge with open-interconnects stems from its non-deterministic real-lif...
Jiang Brandon Liu, Andreas G. Veneris, Hiroshi Tak...
We consider coordinating accesses to shared data structures in multiprocessor real-time systems scheduled under preemptive global EDF. To our knowledge, prior work on global EDF h...
UmaMaheswari C. Devi, Hennadiy Leontyev, James H. ...