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2010 – 2019
- 2019
[j9]Lungan Zhang, Liangxiao Jiang
, Chaoqun Li:
A discriminative model selection approach and its application to text classification. Neural Comput. Appl. 31(4): 1173-1187 (2019)- [j8]Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang:
Toward naive Bayes with attribute value weighting. Neural Comput. Appl. 31(10): 5699-5713 (2019) - [j7]Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang:
Class-specific attribute weighted naive Bayes. Pattern Recognit. 88: 321-330 (2019) - [j6]Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu:
A Correlation-Based Feature Weighting Filter for Naive Bayes. IEEE Trans. Knowl. Data Eng. 31(2): 201-213 (2019) - 2018
- [c2]Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang:
Weight Adjusted Naive Bayes. ICTAI 2018: 825-831 - 2017
- [j5]Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang:
Attribute Value Weighted Average of One-Dependence Estimators. Entropy 19(9): 501 (2017) - 2016
- [j4]Liangxiao Jiang, Chaoqun Li, Shasha Wang, Lungan Zhang:
Deep feature weighting for naive Bayes and its application to text classification. Eng. Appl. Artif. Intell. 52: 26-39 (2016) - [j3]Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
A New Feature Selection Approach to Naive Bayes Text Classifiers. Int. J. Pattern Recognit. Artif. Intell. 30(2): 1650003:1-1650003:17 (2016) - [j2]Liangxiao Jiang, Shasha Wang, Chaoqun Li, Lungan Zhang:
Structure extended multinomial naive Bayes. Inf. Sci. 329: 346-356 (2016) - [j1]Lungan Zhang, Liangxiao Jiang, Chaoqun Li, Ganggang Kong:
Two feature weighting approaches for naive Bayes text classifiers. Knowl. Based Syst. 100: 137-144 (2016) - [c1]Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
C4.5 or Naive Bayes: A Discriminative Model Selection Approach. ICANN (1) 2016: 419-426
Coauthor Index
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