Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hongzhi Tong"'
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
We consider a kind of support vector machines regression (SVMR) algorithms associated with lq (1≤q
Externí odkaz:
https://doaj.org/article/26c7cf01d09b43aaab1f192367d041c8
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
We consider a family of classification algorithms generated from a regularization kernel scheme associated with -regularizer and convex loss function. Our main purpose is to provide an explicit convergence rate for the excess misclassification error
Externí odkaz:
https://doaj.org/article/d0a69bfed8dd4f57803fe8975da1f3ff
Autor:
Hongzhi Tong, Michael Ng
Publikováno v:
Annals of Applied Mathematics. 38:280-295
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c2a57bff4ee652db2ab2ba62b2213d
https://doi.org/10.4208/aam.oa-2021-0016
https://doi.org/10.4208/aam.oa-2021-0016
Autor:
Hongzhi Tong
Publikováno v:
Journal of Complexity. 76:101744
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55f0cb99f78bbded7b310c5835386c8c
https://doi.org/10.1016/j.jco.2023.101744
https://doi.org/10.1016/j.jco.2023.101744
Autor:
Hongzhi Tong tonghz@uibe.edu.cn, Jiajing Gao1 915536490@qq.com
Publikováno v:
Neural Computation. Oct2020, Vol. 32 Issue 10, p1980-1997. 18p. 1 Chart, 1 Graph.
Publikováno v:
African and Asian Studies. 19:218-244
Some studies have shown that financial subsidy can promote the technology or product innovation of enterprises, and then improve the product quality. However, in the market competition of subsidized and non-subsidized agricultural machinery products,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340f0fd0344636703646e82a8ea3495c
https://doi.org/10.1163/15692108-12341458
https://doi.org/10.1163/15692108-12341458
Autor:
Jiajing Gao, Hongzhi Tong
Publikováno v:
Neural Computation. 32:1980-1997
In this letter, we study a class of the regularized regression algorithms when the sampling process is unbounded. By choosing different loss functions, the learning algorithms can include a wide range of commonly used algorithms for regression. Unlik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25391923d826554bdd997f6e7b2f04d0
https://doi.org/10.1162/neco_a_01313
https://doi.org/10.1162/neco_a_01313
Autor:
Qiang Wu, Hongzhi Tong
Publikováno v:
Journal of Statistical Planning and Inference. 205:46-63
Quantile regression is a technique to estimate the conditional quantile. In this paper we propose a localized method for quantile regression, the regularized moving quantile regression, which can be used to analyze scattered data efficiently. We pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ae203181826b8a2e215dbeb40f164c2
https://doi.org/10.1016/j.jspi.2019.06.003
https://doi.org/10.1016/j.jspi.2019.06.003
Autor:
Hongzhi Tong
Publikováno v:
Journal of Complexity. 74:101696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f22e66c98ee9ac7ae6dd877040af66dc
https://doi.org/10.1016/j.jco.2022.101696
https://doi.org/10.1016/j.jco.2022.101696
Autor:
Michael K. Ng, Hongzhi Tong
Publikováno v:
Journal of Complexity. 49:85-94
In this paper, we study and analyze the regularized least squares for functional linear regression model. The approach is to use the reproducing kernel Hilbert space framework and the integral operators. We show with a more general and realistic assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76dc9e3a8d60341ce6d03e3957feecd
https://doi.org/10.1016/j.jco.2018.08.001
https://doi.org/10.1016/j.jco.2018.08.001