Asymptotic Model Selection for Naive Bayesian Networks

Asymptotic Model Selection for Naive Bayesian Networks (2002)

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by Dmitry Rusakov , Dan Geiger

Venue:	In Proc. of the 18th Conference on Uncertainty in Artificial Intelligence (UAI-02
Citations:	23 - 1 self

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@INPROCEEDINGS{Rusakov02asymptoticmodel,
    author = {Dmitry Rusakov and Dan Geiger},
    title = {Asymptotic Model Selection for Naive Bayesian Networks},
    booktitle = {In Proc. of the 18th Conference on Uncertainty in Artificial Intelligence (UAI-02},
    year = {2002},
    pages = {438--445}
}

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Abstract

We develop a closed form asymptotic formula to compute the marginal likelihood of data given a naive Bayesian network model with two hidden states and binary features.

Citations

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