Výsledky vyhledávání - "Shen, ChangYu"

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Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows

Autor: Su, Zijie, Liu, Yunpu, Pan, Sheng, Li, Zheng, Shen, Changyu

Physics-Informed Neural Networks (PINN) has evolved into a powerful tool for solving partial differential equations, which has been applied to various fields such as energy, environment, en-gineering, etc. When utilizing PINN to solve partial differe

Externí odkaz: http://arxiv.org/abs/2411.17095

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Using Principal Progression Rate to Quantify and Compare Disease Progression in Comparative Studies

Autor: Shen, Changyu, Pang, Menglan, Zhu, Ling, Tian, Lu

In comparative studies of progressive diseases, such as randomized controlled trials (RCTs), the mean Change From Baseline (CFB) of a continuous outcome at a pre-specified follow-up time across subjects in the target population is a standard estimand

Externí odkaz: http://arxiv.org/abs/2411.08984

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Bootstrapping the Cross-Validation Estimate

Autor: Cai, Bryan, Pellegrini, Fabio, Pang, Menglan, de Moor, Carl, Shen, Changyu, Charu, Vivek, Tian, Lu

Cross-validation is a widely used technique for evaluating the performance of prediction models. It helps avoid the optimism bias in error estimates, which can be significant for models built using complex statistical learning algorithms. However, si

Externí odkaz: http://arxiv.org/abs/2307.00260

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