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pro vyhledávání: '"DAN Yufang, TAO Jianwen"'
Autor:
DAN Yufang, TAO Jianwen
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 674-692 (2024)
Domain adaptation (DA) aims to solve the problem of inconsistent distribution between training dataset and test dataset, which has attracted extensive attention. Most of the existing DA methods solve this problem by the maximum mean discrepancy (MMD)
Externí odkaz:
https://doaj.org/article/5cd3846ea4f9483eb476d175a3eafa80
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 6, Pp 1329-1342 (2023)
Graph based semi-supervised learning (GSSL) has been attracting more and more attention with its intui-tiveness and good learning performance in the machine learning community. However, it is found that existing graph based semi-supervised learning m
Externí odkaz:
https://doaj.org/article/e0f7d81e26a34537a47be9eda02d10dd