38 citations · 39 across the 2 of their papers we have counts for
2 papers
cs.AI2012★ 38 cited
Asymptotic Model Selection for Naive Bayesian Networks
Dmitry Rusakov, Dan Geiger
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. This formula…
cs.LG2012★ 1 cited
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models
Dmitry Rusakov, Dan Geiger
We present and implement two algorithms for analytic asymptotic evaluation of the marginal likelihood of data given a Bayesian network with hidden nodes. As shown by previous work,…