Credal Nets with Probabilities Estimated with an Extreme Imprecise Dirichlet Model

@inproceedings{Cano2007CredalNW,
  title={Credal Nets with Probabilities Estimated with an Extreme Imprecise Dirichlet Model},
  author={Andr{\'e}s Cano and Manuel G{\'o}mez-Olmedo and S. Moral},
  year={2007}
}
The propagation of probabilities in credal networks when probabilities are estimated with a global imprecise Dirichlet model is an important open problem. Only Zaffalon [21] has proposed an algorithm for the Naive classifier. The main difficulty is that, in general, computing upper and lower probability intervals implies the resolution of an optimization of a fraction of two polynomials. In the case of the Naive credal classifier, Zaffalon has shown that the function is a convex function of… CONTINUE READING

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