Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks.
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Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks.
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neural network design; cross-validation; marginal likelihood; Bayesian inference
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Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks.
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