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- W2034193628 abstract "AbstractThe Bayesian estimation of the conditional Gaussian parameter needs to define several a priori parameters. The proposed approach is free from this definition of priors. We use the Implicit estimation method for learning from observations without a prior knowledge. We illustrate the interest of such an estimation method by giving first the Bayesian Expectation A Posteriori estimator for conditional Gaussian parameters. Then, we describe the Implicit estimators for the same parameters. Moreover, an experimental study is proposed in order to compare both approaches." @default.
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- W2034193628 date "2014-01-01" @default.
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- W2034193628 title "Implicit parameter estimation for conditional Gaussian Bayesian networks" @default.
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- W2034193628 doi "https://doi.org/10.1080/18756891.2014.853926" @default.
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