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Automatic Approximation of Expensive Functions with Active Learning.

, , , and . Foundations of Computational Intelligence (1), volume 201 of Studies in Computational Intelligence, Springer, (2009)

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Computer Vision and the Creation of a Database of Printers' Ornaments., , and . Digit. Humanit. Q., (2021)Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling., , , and . IEEE Congress on Evolutionary Computation, page 989-996. IEEE, (2008)Multiobjective global surrogate modeling, dealing with the 5-percent problem., , , and . Eng. Comput., 26 (1): 81-98 (2010)Adaptive Distributed Metamodeling., , , and . VECPAR, volume 4395 of Lecture Notes in Computer Science, page 579-588. Springer, (2006)A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design., , , , and . J. Mach. Learn. Res., (2010)Blind Kriging: Implementation and performance analysis., , , , and . Adv. Eng. Softw., (2012)H2O Metacomputing - Jini Lookup and Discovery., , , and . International Conference on Computational Science (2), volume 3515 of Lecture Notes in Computer Science, page 1072-1079. Springer, (2005)Automatic surrogate model type selection during the optimization of expensive black-box problems., , , and . WSC, page 4274-4284. IEEE, (2011)An alternative approach to avoid overfitting for surrogate models., , , , , and . WSC, page 2765-2776. IEEE, (2011)Automatic Approximation of Expensive Functions with Active Learning., , , and . Foundations of Computational Intelligence (1), volume 201 of Studies in Computational Intelligence, Springer, (2009)