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2010 – 2019
- 2016
[j5]Chun-Xia Zhang
, Nan-Nan Ji, Guan-Wei Wang:
Randomizing outputs to increase variable selection accuracy. Neurocomputing 218: 91-102 (2016)- 2015
- [j4]Guan-Wei Wang, Chun-Xia Zhang, Gao Guo:
Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting. Commun. Stat. Simul. Comput. 44(3): 636-646 (2015) - [c4]Guan-Wei Wang, Chun-Xia Zhang:
Building variable selection ensembles for linear regression models by adding noise. ICMLC 2015: 554-559 - [c3]Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang:
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models. MCS 2015: 3-14 - 2014
- [j3]Guan-Wei Wang, Chun-Xia Zhang, Jian Zhuang:
Clustering with Prim's sequential representation of minimum spanning tree. Appl. Math. Comput. 247: 521-534 (2014) - [j2]Chun-Xia Zhang, Guan-Wei Wang, Jiang-She Zhang, Gao Guo, Qing-Yan Ying:
IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree. Commun. Stat. Simul. Comput. 43(10): 2714-2731 (2014) - [c2]Chun-Xia Zhang, Guan-Wei Wang:
Boosting variable selection algorithm for linear regression models. ICNC 2014: 769-774 - 2010
- [c1]Guan-Wei Wang, Jian Zhuang, Dehong Yu:
Research and application of manifold learning to fault diagnosis of reciprocating compressor. FSKD 2010: 2652-2656
2000 – 2009
- 2008
- [j1]Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang:
An empirical study of using Rotation Forest to improve regressors. Appl. Math. Comput. 195(2): 618-629 (2008)
Coauthor Index
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