Highly Influenced

@inproceedings{Kraaijeveld2005GeNIeRateA, title={GeNIeRate : An Interactive Generator of Diagnostic Bayesian Network Models}, author={Pieter Kraaijeveld}, year={2005} }

- Published 2005

Constructing diagnostic Bayesian network models is a complex and time consuming task. In this thesis, we propose a methodology to simplify and speed up the design of very large Bayesian network models. The models produced using our methodology are based on two simplifying assumptions: (1) the structure of the model has three layers of variables and (2) the interaction among the variables can be modeled by canonical models such as the Noisy-MAX gate. The methodology is implemented in an… CONTINUE READING

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