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An exploratory analysis approach for understanding variation in stochastic textured surfaces.

, и . Comput. Stat. Data Anal., (2019)

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Friedrich-Enno Apley

Daniel W Zahnd

Daniel W Assenbaum

Daniel W Blum

Daniel W. Connolly

 

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Cautious Control of Industrial Process Variability With Uncertain Input and Disturbance Model Parameters., и . Technometrics, 46 (2): 188-199 (2004)A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes., и . Technometrics, 43 (1): 84-95 (2001)A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors., , , и . Technometrics, 62 (3): 291-302 (2020)Feature selection for noisy variation patterns using kernel principal component analysis., , и . Knowl. Based Syst., (2014)Technometrics 2019 Editor's Report.. Technometrics, 62 (1): 1-5 (2020)An exploratory analysis approach for understanding variation in stochastic textured surfaces., и . Comput. Stat. Data Anal., (2019)Image denoising with a multi-phase kernel principal component approach and an ensemble version., , и . AIPR, стр. 1-7. IEEE Computer Society, (2011)An order downdating algorithm for tracking system order and parameters in recursive least squares identification., и . IEEE Trans. Signal Process., 47 (11): 3134-3137 (1999)Uncertainty-aware Mixed-variable Machine Learning for Materials Design., , , , и . CoRR, (2022)Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems., , , , и . ACM Trans. Model. Comput. Simul., 31 (4): 22:1-22:36 (2021)