Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zilin Zeng"'
Publikováno v:
International Journal of Intelligent Systems. 37:9192-9212
Publikováno v:
Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022).
Autor:
Zhenglin Chang, Lei Min, Zhangkai Jason Cheng, Jiale Zhang, Xiaocong Pan, Zilin Zeng, Baoqing Sun
BACKGROUND: Increasing numbers of research have revealed an etiological association between peripheral blood markers and allergy. Nevertheless, whether these associations are causal and whether they vary among different allergic diseases and ethnicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8dfa96f19b64e1327da44bf8941a150
https://doi.org/10.22541/au.166771987.74273918/v1
https://doi.org/10.22541/au.166771987.74273918/v1
Publikováno v:
IEICE Transactions on Information and Systems. :437-446
Autor:
Zilin Zeng, Xiangan Heng
Publikováno v:
DSC
Publikováno v:
Journal of the Operational Research Society. 66:1878-1886
When planning production in a centralized decision-making environment using data envelopment analysis (DEA), previous researches usually plan for units by selecting best-practice points within the entire production possibility set or adhering to thei
Publikováno v:
Pattern Recognition. 48:2656-2666
Interacting features are those that appear to be irrelevant or weakly relevant with the class individually, but when it combined with other features, it may highly correlate to the class. Discovering feature interaction is a challenging task in featu
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
Feature interaction has gained considerable attention recently. However, many feature selection methods considering interaction are only designed for categorical features. This paper proposes a mixed feature selection algorithm based on neighborhood
Autor:
Zilin Zeng1,2 beauty1981@sohu.com, Hongjun Zhang1 jsnjzhj@263.net, Rui Zhang1, Youliang Zhang1
Publikováno v:
ISRN Otolaryngology. 2014, p1-11. 11p.
Publikováno v:
ISRN Applied Mathematics. 2014:1-11
We introduced a novel hybrid feature selection method based on rough conditional mutual information and Naive Bayesian classifier. Conditional mutual information is an important metric in feature selection, but it is hard to compute. We introduce a n