Construction of Bayesian support vector regression in the feature space spanned by Bezier-Bernstein polynomial functions

Authors:
O. Yu. Mytnik
Affiliations:
Institute of Program Systems, National Academy of Sciences of Ukraine, Kiev, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2007

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Abstract

Ill-posed inverse problems of recovering nonlinear dependencies in observational data are considered. An inductive method is developed for construction of a Bayesian model of support vector regression in Bernstein form. A new Bayesian evidence criterion is used to compare the adequacy of models.