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Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management., , и . CAP, стр. 183-184. PUG, (2005)On Averaging the Best Samples in Evolutionary Computation., , , , и . PPSN (2), том 12270 из Lecture Notes in Computer Science, стр. 661-674. Springer, (2020)Tarsier: Evolving Noise Injection in Super-Resolution GANs., , , , , , и . ICPR, стр. 7028-7035. IEEE, (2020)The Nash and the bandit approaches for adversarial portfolios., и . CIG, стр. 1-7. IEEE, (2014)Slightly Beyond Turing's Computability for Studying Genetic Programming.. MCU, том 4664 из Lecture Notes in Computer Science, стр. 279-290. Springer, (2007)Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper., и . LION, том 7219 из Lecture Notes in Computer Science, стр. 220-234. Springer, (2012)Kernel Based Image Classification., и . ICANN, том 2130 из Lecture Notes in Computer Science, стр. 369-375. Springer, (2001)Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms., и . ICANN, том 2130 из Lecture Notes in Computer Science, стр. 265-270. Springer, (2001)Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error., и . ICANN, том 2415 из Lecture Notes in Computer Science, стр. 583-588. Springer, (2002)Designing an Optimal Search Algorithm with Respect to Prior Information., и . Theory and Principled Methods for the Design of Metaheuristics, Springer, (2014)