Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Yang, Chiao‐Yu"'
Publikováno v:
In Diabetes & Metabolism July 2024 50(4)
We propose a new adaptive empirical Bayes framework, the Bag-Of-Null-Statistics (BONuS) procedure, for multiple testing where each hypothesis testing problem is itself multivariate or nonparametric. BONuS is an adaptive and interactive knockoff-type
Externí odkaz:
http://arxiv.org/abs/2106.15743
Akademický článek
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Autor:
Yang, Chiao-Yu, 楊喬喻
106
Due to rapid development of information technology and widespread of mobile devices, mobile-learning has become one of the new trends in education. Mobile-Learning has the potential for enhancing the students’ interest and learning achieve
Due to rapid development of information technology and widespread of mobile devices, mobile-learning has become one of the new trends in education. Mobile-Learning has the potential for enhancing the students’ interest and learning achieve
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/2a2mpk
Autor:
YANG, CHIAO-YU, 楊巧愉
106
The mobile APP is an important tools for today's business services.This study integrated Kano model and means-end chains (MECs) theory in the setting of fast food industry to reveal how the attribute-consequence-value linkages of mobile APP
The mobile APP is an important tools for today's business services.This study integrated Kano model and means-end chains (MECs) theory in the setting of fast food industry to reveal how the attribute-consequence-value linkages of mobile APP
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/gmbz23
We provide a theoretical treatment of over-specified Gaussian mixtures of experts with covariate-free gating networks. We establish the convergence rates of the maximum likelihood estimation (MLE) for these models. Our proof technique is based on a n
Externí odkaz:
http://arxiv.org/abs/1907.04377
Exchangeability -- in which the distribution of an infinite sequence is invariant to reorderings of its elements -- implies the existence of a simple conditional independence structure that may be leveraged in the design of statistical models and inf
Externí odkaz:
http://arxiv.org/abs/1906.09507
Dirichlet process mixture models (DPMM) play a central role in Bayesian nonparametrics, with applications throughout statistics and machine learning. DPMMs are generally used in clustering problems where the number of clusters is not known in advance
Externí odkaz:
http://arxiv.org/abs/1905.09959
Autor:
Yang, Chiao‐Yu1,2 (AUTHOR), Tsai, Hung‐Wen3,4 (AUTHOR), Chou, Yen‐Yin1 (AUTHOR), Yang, Yao‐Jong1,4 (AUTHOR) yaojong@mail.ncku.edu.tw
Publikováno v:
Clinical Case Reports. Feb2024, Vol. 12 Issue 2, p1-6. 6p.