no code implementations • 20 Dec 2022 • Samuel W. K. Wong, Shihao Yang, S. C. Kou
Overall, we believe MAGI is a useful method for the analysis of time-course data in the context of ODE models, which bypasses the need for any numerical integration.
1 code implementation • 24 Oct 2022 • Yuxuan Zhao, Samuel W. K. Wong
The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019.
no code implementations • 18 May 2021 • Samuel W. K. Wong, Zongjun Liu
Loop modeling methods were then applied to the S protein loop targets, and the prediction accuracies discussed in relation to the characteristics of the conformational clusters identified.
no code implementations • 10 Nov 2020 • Shenyi Pan, Shuxian Fan, Samuel W. K. Wong, James V. Zidek, Helge Rhodin
Specific to the lumber application, we also propose an algorithm to correct any misalignment in the raw timber images during scanning, and contribute the first open-source lumber knot dataset by labeling the elliptical knots in the preprocessed images.
1 code implementation • 16 Sep 2020 • Shihao Yang, Samuel W. K. Wong, S. C. Kou
MAGI uses a Gaussian process model over time-series data, explicitly conditioned on the manifold constraint that derivatives of the Gaussian process must satisfy the ODE system.
Methodology Dynamical Systems
no code implementations • 4 Oct 2019 • Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong
Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine learning algorithms.
1 code implementation • 13 Sep 2018 • Katherine C. Kempfert, Samuel W. K. Wong
Several of these proposed summary features are found to be important for distinguishing between Haydn and Mozart string quartets.
Applications