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A comparison of global and semi-local approximation in T-stage stochastic optimization., and . Eur. J. Oper. Res., 208 (2): 109-118 (2011)F-Discrepancy for Efficient Sampling in Approximate Dynamic Programming., and . IEEE Trans. Cybern., 46 (7): 1628-1639 (2016)Model Predictive Control of Port-City Traffic Interactions Over Shared Urban Infrastructure., , and . IEEE Trans. Control. Syst. Technol., 32 (2): 688-695 (March 2024)Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation., , and . IJCNN, page 1-8. IEEE, (2021)Policy Optimization for Berth Allocation Problems., , and . IJCNN, page 1-6. IEEE, (2021)Efficient global maximum likelihood estimation through kernel methods., , and . Neural Networks, 23 (7): 917-925 (2010)Efficient kernel models for learning and approximate minimization problems., , and . Neurocomputing, (2012)Distribution-Preserving Stratified Sampling for Learning Problems., and . IEEE Trans. Neural Networks Learn. Syst., 29 (7): 2886-2895 (2018)An Extreme Learning Machine Approach to Density Estimation Problems., and . IEEE Trans. Cybern., 47 (10): 3254-3265 (2017)A Novel Approach for Sampling in Approximate Dynamic Programming Based on F-Discrepancy., and . IEEE Trans. Cybern., 47 (10): 3355-3366 (2017)