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pro vyhledávání: '"Do, Tu T."'
Autor:
Do, Tu T., Vu, Mai Anh, Vo, Tuan L., Ly, Hoang Thien, Nguyen, Thu, Hicks, Steven A., Riegler, Michael A., Halvorsen, Pål, Nguyen, Binh T.
Monotone missing data is a common problem in data analysis. However, imputation combined with dimensionality reduction can be computationally expensive, especially with the increasing size of datasets. To address this issue, we propose a Blockwise pr
Externí odkaz:
http://arxiv.org/abs/2305.06042
Autor:
Vu, Mai Anh, Nguyen, Thu, Do, Tu T., Phan, Nhan, Chawla, Nitesh V., Halvorsen, Pål, Riegler, Michael A., Nguyen, Binh T.
Missing data frequently occurs in datasets across various domains, such as medicine, sports, and finance. In many cases, to enable proper and reliable analyses of such data, the missing values are often imputed, and it is necessary that the method us
Externí odkaz:
http://arxiv.org/abs/2302.00911
Akademický článek
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Autor:
Quang-Hung, Tran, Do, Tu T., Hoang, Viet Q., Tran, Duc M., Quoc-Anh, Ngo, Hoang, Tuan-Anh L., Eckelt, Reinhard, Do, Dang V., Dang, Tuan T., Vu, Xuan-Hoan
Publikováno v:
Chemical Papers; Jan2023, Vol. 77 Issue 1, p89-99, 11p
Autor:
Quang-Hung, Tran, Do, Tu T., Hoang, Viet Q., Tran, Duc M., Quoc-Anh, Ngo, Hoang, Tuan-Anh L., Eckelt, Reinhard, Do, Dang V., Dang, Tuan T., Vu, Xuan-Hoan
Publikováno v:
Chemical Papers; 20220101, Issue: Preprints p1-11, 11p