A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
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This network shows the impact of A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design.
About A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
This paper, published in 2010, received 327 indexed citations . Written by Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene and Karel Crombecq covering the research area of Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. It is primarily cited by scholars working on Computational Theory and Mathematics (131 citations), Electrical and Electronic Engineering (107 citations), Statistics, Probability and Uncertainty (65 citations), Artificial Intelligence (55 citations) and Management Science and Operations Research (52 citations). Published in Journal of Machine Learning Research.
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This paper is also available at doi.org/w3504866.