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Decentralized diffusion-based learning under non-parametric limited prior knowledge.

, , and . Eur. J. Control, (January 2024)

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Mimicking Learning for 1-NN Classifiers., , and . ICCS (3), volume 12744 of Lecture Notes in Computer Science, page 75-80. Springer, (2021)Aggregative modeling of Wiener systems., , and . MMAR, page 375-378. IEEE, (2016)Application of stochastic counterpart optimization to contrast-detection autofocusing., and . ICACCI, page 333-337. IEEE, (2013)A stochastic approach to contrast detection autofocusing. A 2D case analysis., , and . MMAR, page 738-743. IEEE, (2016)Multistage identification of Wiener-Hammerstein system., , , and . KKA, volume 577 of Advances in Intelligent Systems and Computing, page 527-535. Springer, (2017)Assessment of Baroreflex Sensitivity Using Time-Frequency Analysis during Postural Change and Hypercapnia., , , , , and . Comput. Math. Methods Medicine, (2019)Decentralized diffusion-based learning under non-parametric limited prior knowledge., , and . Eur. J. Control, (January 2024)Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling., , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 352-359. Springer, (2021)Model Selection of Hammerstein System Nonlinearity under Heavy Noise., , , and . ALCOSP, page 378-383. International Federation of Automatic Control, (2013)Aggregative Modeling of Nonlinear Systems., and . IEEE Signal Process. Lett., 22 (9): 1482-1486 (2015)