Unsupervised double weighted domain adaptation
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05228-4
Abstract: Domain adaptation can effectively transfer knowledge between domains with different distributions. Most existing methods use distribution alignment to mitigate the domain shift. But they typically align the marginal and conditional distributions with equal weights. This… read more here.
Keywords: weighted domain; domain adaptation; double weighted; domain ... See more keywords
Scaling of the average weighted receiving time on a family of double-weighted hierarchical networks
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.121476
Abstract: Abstract In this paper, we introduce a family of double-weighted hierarchical networks, which is depended on the initial complete bipartite graph and two weight factors r , w ( 0 r 1 , 0 w… read more here.
Keywords: time; double weighted; weighted hierarchical; family double ... See more keywords
Double weighted ensemble clustering for cancer subtypes analysis
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DOI: 10.1109/access.2022.3167031
Abstract: The era of big data provides the possibility of precision medicine. The most important idea we have for cancer is to divide and treat. Theoretically, each person’s cancer should be different, so it is very… read more here.
Keywords: weighted ensemble; cancer; double weighted; analysis ... See more keywords