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We suggest to take into account the error disaster in Eigen's design as an analog of overfitting in mastering principle; this gives a criterion for the presence of overfitting in learning.Nested sampling is an effective way for calculating Bayesian evidence in data analysis and partition features of prospective energies. It is based on an exploration making use of a dynamical set of sampling points that evolves to higher values regarding the sampled function. When
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