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Robust parameter design based on Gaussian process with model uncertainty.

, , , and . Int. J. Prod. Res., 59 (9): 2772-2788 (2021)

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RIP-based performance guarantee for low-tubal-rank tensor recovery., , , , and . CoRR, (2019)Improved Gauss-Newton-Marquardt algorithms for displacement back analysis of casing external loads in salt stratum., , , , and . ICNC, page 3354-3358. IEEE, (2010)An analysis of noise folding for low-rank matrix recovery., , , , and . CoRR, (2020)An improved section-wise exploiting modification direction method., , , , , and . Signal Process., 90 (11): 2954-2964 (2010)RIP-based performance guarantee for low-tubal-rank tensor recovery., , , , and . J. Comput. Appl. Math., (2020)Active Contours Driven by Local Intensity and Local Gradient Fitting energies., , and . IJPRAI, (2014)The essential order of approximation for nearly exponential type neural networks., and . Sci. China Ser. F Inf. Sci., 49 (4): 446-460 (2006)Research on the Distribution of Geomagnetic Daily Variation Along Some Station Chains in China., , , and . Data Sci. J., (2011)General Consistency Management Within the Development of Ontology-Driven Web Information System., , , , , , , and . ASIAN, volume 3818 of Lecture Notes in Computer Science, page 290-291. Springer, (2005)Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise., , and . IET Commun., 13 (2): 251-258 (2019)