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- aggregation classification "P1".
- aggregation creator B67375.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2009".
- aggregation format "application/pdf".
- aggregation hasFormat 792579.bibtex.
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- aggregation isPartOf urn:isbn:978-3-642-02318-7.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Pareto-based multi-output model type selection".
- aggregation abstract "In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, Visualization and optimization. Popular surrogate model types include neural networks, support vector machines, Kriging models, and splines. An engineering simulation typically involves multiple response variables that must be approximated. With many approximation methods available, the question of which method to use for which response consistently arises among engineers and domain experts. Traditionally, the different responses are modeled separately by independent models, possibly involving a comparison among model types. Instead, this paper proposes a multi-objective approach can benefit the domain expert since it enables automatic model type selection for each output on the fly without resorting to multiple runs. In effect the optimal model complexity and model type for each output is determined automatically. In addition a multi-objective approach gives information about output correlation and facilitates the generation of diverse ensembles. The merit of this approach is illustrated with a modeling problem from aerospace.".
- aggregation authorList BK169935.
- aggregation endPage "449".
- aggregation startPage "442".
- aggregation volume "5572".
- aggregation aggregates 1138086.
- aggregation isDescribedBy 792579.
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