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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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A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments., , , and . SIAM J. Sci. Comput., 33 (4): 1948-1974 (2011)The SUMO toolbox: A tool for automatic regression modeling and active learning., , , , and . AFRICON, page 1-4. IEEE, (2013)A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design., , , , and . J. Mach. Learn. Res., (2010)Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling., , and . Eur. J. Oper. Res., 214 (3): 683-696 (2011)Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods., and . SEAL, volume 6457 of Lecture Notes in Computer Science, page 80-84. Springer, (2010)Adaptive Distributed Metamodeling., , , and . VECPAR, volume 4395 of Lecture Notes in Computer Science, page 579-588. Springer, (2006)Automatic Approximation of Expensive Functions with Active Learning., , , and . Foundations of Computational Intelligence (1), volume 201 of Studies in Computational Intelligence, Springer, (2009)A comparison of sequential design methods for RF circuit block modeling., , , and . WSC, page 2942. WSC, (2008)Integrating Gridcomputing and Metamodeling., , , and . CCGRID, page 185-192. IEEE Computer Society, (2006)Sequential modeling of a low noise amplifier with neural networks and active learning., , , and . Neural Comput. Appl., 18 (5): 485-494 (2009)