Author:
Donskoi A.,Medvedev A.,Shchudro T.,Terekhov K.,Vassilevski Yu.
Reference45 articles.
1. F. Anterion, R. Eymard, and B. Karcher, ‘‘Use of parameter gradients for reservoir history matching,’’ in Proceedings of the SPE Symposium on Reservoir Simulation, Houston, Texas, February 1989 (1989), SPE-18433-MS.
https://doi.org/10.2118/18433-MS
2. D. Arnold, V. Demyanov, D. Tatum, M. Christie, T. Rojas, S. Geiger, and P. Corbett, ‘‘Hierarchical benchmark case study for history matching, uncertainty quantification and reservoir characterisation,’’ Comput. Geosci. 50, 4–15 (2013).
https://doi.org/10.1016/j.cageo.2012.09.011
3. C. Bentéjac, A. Csörgő, and G. Martínez-Muñoz, ‘‘A comparative analysis of gradient boosting algorithms,’’ Artif. Intell. Rev. 54, 1937–1967 (2021).
https://doi.org/10.1007/s10462-020-09896-5
4. J. Bergstra, D. Yamins, and D. Cox, ‘‘Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures,’’ in Proceedings of the 30th International Conference on Machine Learning, Proc. Mach. Learn. Res. 28, 115–123 (2013).
https://proceedings.mlr.press/v28/bergstra13.html
5. D. Bertsimas and J. Tsitsiklis, ‘‘Simulated annealing,’’ Stat. Sci. 8, 10–15 (1993).
https://doi.org/10.1214/ss/1177011077