Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Deniu He"'
Autor:
Deniu He
Publikováno v:
IEEE Access, Vol 11, Pp 16396-16410 (2023)
Although a plethora of research has been conducted on active learning, little research attention has been focused on active learning for ordinal classification. Traditional multi-class active learning methods are typically designed for nominal multi-
Externí odkaz:
https://doaj.org/article/d3c55504b648422588c5745498903fda
Autor:
Deniu He
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract To date, a large number of active learning algorithms have been proposed, but active learning methods for ordinal classification are under-researched. For ordinal classification, there is a total ordering among the data classes, and it is na
Externí odkaz:
https://doaj.org/article/e517a3552ffa46999810545efcd11a97
Autor:
Deniu He
Publikováno v:
Intelligent Data Analysis. 27:613-634
Existing active learning algorithms typically assume that the data provided are complete. Nonetheless, data with missing values are common in real-world applications, and active learning on incomplete data is less studied. This paper studies the prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f523414bd25b3a015bbd5026d56f5958
https://doi.org/10.3233/ida-226664
https://doi.org/10.3233/ida-226664
Publikováno v:
Intelligent Data Analysis. 25:1169-1185
The problem of initialization of active learning is considered in this paper. Especially, this paper studies the problem in an imbalanced data scenario, which is called as class-imbalance active learning cold-start. The novel method is two-stage clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4753de5e2127b618fa14b8a1f26d8225
https://doi.org/10.3233/ida-205393
https://doi.org/10.3233/ida-205393
Publikováno v:
Advanced Research on Electronic Commerce, Web Application, and Communication ISBN: 9783642203695
After the shortcoming of the optimization algorithm on using fishing strategy (FSOA) being analyzed in this paper, an improving FSOA optimization is presented. The main approach of this optimization is that, about the aspect of the choice of detectin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e150d433ae73f3ab334d525f902503
https://doi.org/10.1007/978-3-642-20370-1_11
https://doi.org/10.1007/978-3-642-20370-1_11
