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Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty., , , and . CoRR, (2016)Fuzzy local linear approximation-based sequential design., , and . CIES, page 17-21. IEEE, (2014)Surrogate modeling based cognitive decision engine for optimization of WLAN performance., , , , , , , , , and . Wireless Networks, 23 (8): 2347-2359 (2017)A cognitive QoS management framework for WLANs., , , , , , , , , and . EURASIP J. Wireless Comm. and Networking, (2014)Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization., , and . J. Glob. Optim., 60 (3): 575-594 (2014)A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments., , , and . SIAM J. Sci. Comput., (2015)Data-driven Optimization of Energy Efficiency and Comfort in an Apartment., , , , and . IEEE Conf. on Intelligent Systems, page 174-182. IEEE, (2018)Automated classification of appliances using elliptical fourier descriptors., , , and . SmartGridComm, page 153-158. IEEE, (2017)Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design., , , and . CEC, page 1634-1641. IEEE, (2016)