Výsledky vyhledávání - "Chen, Yongkai"

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Smoothing splines approximation using Hilbert curve basis selection

Autor: Meng, Cheng, Yu, Jun, Chen, Yongkai, Zhong, Wenxuan, Ma, Ping

Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing splines is significant when the sample size $n$ is large. When the number of predictors $d\geq2$, the computational cost for smo

Externí odkaz: http://arxiv.org/abs/2109.11727

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Best Subset Selection: Statistical Computing Meets Quantum Computing

Autor: Zhong, Wenxuan, Ke, Yuan, Wang, Ye, Chen, Yongkai, Chen, Jinyang, Ma, Ping

With the rapid development of quantum computers, quantum algorithms have been studied extensively. However, quantum algorithms tackling statistical problems are still lacking. In this paper, we propose a novel non-oracular quantum adaptive search (QA

Externí odkaz: http://arxiv.org/abs/2107.08359

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Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Autor: Zhang, Jingyi, Zhu, Huolan, Chen, Yongkai, Yang, Chenguang, Cheng, Huimin, Li, Yi, Zhong, Wenxuan, Wang, Fang

Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and

Externí odkaz: http://arxiv.org/abs/2105.09670

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Akademický článek

Orthogonal multimodality integration and clustering in single-cell data.

Autor: Liu, Yufang¹ (AUTHOR), Chen, Yongkai¹ (AUTHOR), Lu, Haoran¹ (AUTHOR), Zhong, Wenxuan¹ (AUTHOR), Yuan, Guo-Cheng² (AUTHOR) guo-cheng.yuan@mssm.edu, Ma, Ping¹ (AUTHOR) pingma@uga.edu

Publikováno v: BMC Bioinformatics. 4/25/2024, Vol. 25 Issue 1, p1-18. 18p.

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