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Jiang, Liangxiao, Zhang, Lungan, Yu, Liangjun, Wang, Dianhong (2019) Class-specific attribute weighted naive Bayes. Pattern Recognition, 88. 321-330 doi:10.1016/j.patcog.2018.11.032

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Reference TypeJournal (article/letter/editorial)
TitleClass-specific attribute weighted naive Bayes
JournalPattern Recognition
AuthorsJiang, LiangxiaoAuthor
Zhang, LunganAuthor
Yu, LiangjunAuthor
Wang, DianhongAuthor
Year2019 (April)Volume88
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.11.032Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367671Long-form Identifiermindat:1:5:9367671:1
GUID0
Full ReferenceJiang, Liangxiao, Zhang, Lungan, Yu, Liangjun, Wang, Dianhong (2019) Class-specific attribute weighted naive Bayes. Pattern Recognition, 88. 321-330 doi:10.1016/j.patcog.2018.11.032
Plain TextJiang, Liangxiao, Zhang, Lungan, Yu, Liangjun, Wang, Dianhong (2019) Class-specific attribute weighted naive Bayes. Pattern Recognition, 88. 321-330 doi:10.1016/j.patcog.2018.11.032
In(2019) Pattern Recognition Vol. 88. Elsevier BV

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Zhang, Huan, Jiang, Liangxiao, Yu, Liangjun (2021) Attribute and instance weighted naive Bayes. Pattern Recognition, 111. 107674pp. doi:10.1016/j.patcog.2020.107674
Yu, Liangjun, Jiang, Liangxiao, Wang, Dianhong, Zhang, Lungan (2017) Attribute Value Weighted Average of One-Dependence Estimators. Entropy, 19 (9). 501pp. doi:10.3390/e19090501
Zhang, Huan, Jiang, Liangxiao, Yu, Liangjun (2020) Class-specific attribute value weighting for Naive Bayes. Information Sciences, 508. 260-274 doi:10.1016/j.ins.2019.08.071
Zhang, Huan, Jiang, Liangxiao, Webb, Geoffrey I. (2023) Rigorous non-disjoint discretization for naive Bayes. Pattern Recognition, 140. 109554 doi:10.1016/j.patcog.2023.109554
Zhang, Lungan, Jiang, Liangxiao, Li, Chaoqun (2016) A New Feature Selection Approach to Naive Bayes Text Classifiers. International Journal of Pattern Recognition and Artificial Intelligence, 30. 1650003pp. doi:10.1142/s0218001416500038
Jiang, Liangxiao, Wang, Shasha, Li, Chaoqun, Zhang, Lungan (2016) Structure extended multinomial naive Bayes. Information Sciences, 329. 346-356 doi:10.1016/j.ins.2015.09.037
JIANG, LIANGXIAO, WANG, DIANHONG, ZHANG, HARRY, CAI, ZHIHUA, HUANG, BO (2008) USING INSTANCE CLONING TO IMPROVE NAIVE BAYES FOR RANKING. International Journal of Pattern Recognition and Artificial Intelligence, 22. 1121-1140 doi:10.1142/s0218001408006703
Gong, Fang, Wang, Xin, Jiang, Liangxiao, Rahimi, Seyyed Mohammadreza, Wang, Dianhong (2021) Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes. Information Sciences, 578. 848-869 doi:10.1016/j.ins.2021.08.041
JIANG, LIANGXIAO, WANG, DIANHONG, CAI, ZHIHUA (2012) DISCRIMINATIVELY WEIGHTED NAIVE BAYES AND ITS APPLICATION IN TEXT CLASSIFICATION. International Journal on Artificial Intelligence Tools, 21. 1250007pp. doi:10.1142/s0218213011004770
Jiang, Liangxiao, Zhang, Lungan, Li, Chaoqun, Wu, Jia (2019) A Correlation-Based Feature Weighting Filter for Naive Bayes. IEEE Transactions on Knowledge and Data Engineering, 31 (2) 201-213 doi:10.1109/tkde.2018.2836440
Zhang, Huan; Meng, Kexin; Lv, Pei; He, Shuo; Xu, Mingliang (2026) A general dual-view framework for instance weighted naive Bayes. Pattern Recognition, 171. doi:10.1016/j.patcog.2025.112181
 
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