Bayesian numerical analysis : global optimization and other applications
We present a unifying framework for the global optimization of functions which are expensive to evaluate. The framework is based on a Bayesian interpretation of radial basis function interpolation which incorporates existing methods such as Kriging, Gaussian process regression and neural networks. T...
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University of Oxford
2011
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556674 |