Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Yi-Ren Yeh"'
Autor:
Hugo Y-H Lin, Tiffany Shien, Juan-Wei Xu, Yen-Jung Kuo, Phang-Lang Chen, Sheng-Wen Niu, I-Ching Kuo, Hsuan-Fu Kuo, Kai-Chieh Yang, Yi-Ren Yeh
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308385 (2024)
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (HD) remaining one of the most prevalent kidney replacement therapies. Ensuring the longevity and functionality of arteriovenous accesses is challenging
Externí odkaz:
https://doaj.org/article/fd95afd5eb664873aad65e4b27b0675d
Autor:
Wei-Cheng Lin, Yi-Ren Yeh
Publikováno v:
Mathematics, Vol 10, Iss 4, p 608 (2022)
The rapid increase of malware attacks has become one of the main threats to computer security. Finding the best way to detect malware has become a critical task in cybersecurity. Previous work shows that machine learning approaches could be a solutio
Externí odkaz:
https://doaj.org/article/3a451900db044c61b4b1b7aaa00e6fce
Publikováno v:
Mathematics, Vol 9, Iss 10, p 1093 (2021)
A well-established financial trading system should well perform in resource allocation, risk management, and sustainability. In this paper, we propose a self-management portfolio system with adaptive association mining for practical applications. The
Externí odkaz:
https://doaj.org/article/445253ea11d84a5f954e6c373d9f21a8
Autor:
Yi-Ren Yeh, 葉倚任
98
In this dissertation, we develop a dimension reduction framework for learning tasks based on the nonlinear dimension reduction methods. We first focus on the kernel extension of sliced inverse regression (SIR) which is a supervised dimension
In this dissertation, we develop a dimension reduction framework for learning tasks based on the nonlinear dimension reduction methods. We first focus on the kernel extension of sliced inverse regression (SIR) which is a supervised dimension
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/57298995223815598063
Autor:
Yi-Ren Yeh, 葉倚任
94
Traditionally, decision trees rank instances by using the local probability estimations for each leaf node. The instances in the same leaf node will be estimated with equal probabilities. In this thesis, we propose a hierarchical ranking stra
Traditionally, decision trees rank instances by using the local probability estimations for each leaf node. The instances in the same leaf node will be estimated with equal probabilities. In this thesis, we propose a hierarchical ranking stra
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/996p7y
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eef8910b6d4e0d84c551fea1a78e6147
https://doi.org/10.1109/wacv56688.2023.00604
https://doi.org/10.1109/wacv56688.2023.00604
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6addaf8a31ef57aae57ad8324d674043
https://doi.org/10.1109/icip46576.2022.9897599
https://doi.org/10.1109/icip46576.2022.9897599
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5359f8862c65f58e1c62cf39bf9f64e0
https://doi.org/10.1145/3503161.3548402
https://doi.org/10.1145/3503161.3548402
Publikováno v:
Mathematics; Volume 9; Issue 10; Pages: 1093
Mathematics, Vol 9, Iss 1093, p 1093 (2021)
Mathematics, Vol 9, Iss 1093, p 1093 (2021)
A well-established financial trading system should well perform in resource allocation, risk management, and sustainability. In this paper, we propose a self-management portfolio system with adaptive association mining for practical applications. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b16b511b865563d32cc8d964dabf5ef9
Publikováno v:
2020 International Conference on Pervasive Artificial Intelligence (ICPAI).
Short term load forecasting (STLF) plays an essential role for reliable and economic operation of a power system. In general, the accuracies of the STLF algorithms are dependent on the representation of the input raw data. This paper proposes to use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3accdf02df10fe9faf51c32861acab5c
https://doi.org/10.1109/icpai51961.2020.00047
https://doi.org/10.1109/icpai51961.2020.00047