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SBACPAD
2007
IEEE
128views Hardware» more  SBACPAD 2007»
15 years 10 months ago
Node Level Primitives for Parallel Exact Inference
We present node level primitives for parallel exact inference on an arbitrary Bayesian network. We explore the probability representation on each node of Bayesian networks and eac...
Yinglong Xia, Viktor K. Prasanna
KBSE
2005
IEEE
15 years 9 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...
124
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IJAR
2008
76views more  IJAR 2008»
15 years 3 months ago
Evidence and scenario sensitivities in naive Bayesian classifiers
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
Silja Renooij, Linda C. van der Gaag
JCB
2006
185views more  JCB 2006»
15 years 3 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
QSIC
2006
IEEE
15 years 10 months ago
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker