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Kernel-based model order selection for identification and prediction of linear dynamic systems.

, , and . CDC, page 5174-5179. IEEE, (2013)

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On the analysis of average time complexity of estimation of distribution algorithms., , , and . IEEE Congress on Evolutionary Computation, page 453-460. IEEE, (2007)When is an estimation of distribution algorithm better than an evolutionary algorithm?, , , and . IEEE Congress on Evolutionary Computation, page 1470-1477. IEEE, (2009)An Efficient Implementation for Bayesian Manifold Regularization Method., , , , and . CDC, page 6223-6228. IEEE, (2023)Sparse multiple kernels for impulse response estimation with majorization minimization algorithms., , , , , and . CDC, page 1500-1505. IEEE, (2012)On the Easiest and Hardest Fitness Functions., , and . IEEE Trans. Evol. Comput., 19 (2): 295-305 (2015)On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses., and . Autom., (2018)Persistence of excitation for identifying switched linear systems., , , and . Autom., (2022)On kernel design for regularized non-causal system identification., and . Autom., (January 2024)A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems., , , , and . IEEE Trans. Syst. Man Cybern. Part B, 39 (5): 1092-1106 (2009)Maximum entropy properties of discrete-time first-order stable spline kernel., , , , , and . CoRR, (2015)