Liangxiao Jiang

2007
19	EE	Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan: Survey of Improving Naive Bayes for Classification. ADMA 2007: 134-145
18	EE	Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai: Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115
17	EE	Zhihua Cai, Dianhong Wang, Liangxiao Jiang: K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) 2007: 436-443
16	EE	Liangxiao Jiang, Dianhong Wang, Zhihua Cai: Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) 2007: 475-484
2006
15	EE	Liangxiao Jiang, Harry Zhang: Learning Naive Bayes for Probability Estimation by Feature Selection. Canadian Conference on AI 2006: 503-514
14	EE	Liangxiao Jiang, Harry Zhang: Lazy Averaged One-Dependence Estimators. Canadian Conference on AI 2006: 515-525
13	EE	Liangxiao Jiang, Harry Zhang, Zhihua Cai: Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD 2006: 365-368
12	EE	Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang: Augmented Naive Bayes Based on Evolutional Strategy. ISDA (1) 2006: 446-450
11	EE	Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang: A Novel One-dependence Estimator Based on Multi-parents. ISDA (1) 2006: 639-643
10	EE	Chaoqun Li, Liangxiao Jiang: Using Locally Weighted Learning to Improve SMOreg for Regression. PRICAI 2006: 375-384
9	EE	Liangxiao Jiang, Harry Zhang: Weightily Averaged One-Dependence Estimators. PRICAI 2006: 970-974
2005
8		Harry Zhang, Liangxiao Jiang, Jiang Su: Hidden Naive Bayes. AAAI 2005: 919-924
7	EE	Liangxiao Jiang, Harry Zhang, Jiang Su: Learning k-Nearest Neighbor Naive Bayes for Ranking. ADMA 2005: 175-185
6	EE	Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: One Dependence Augmented Naive Bayes. ADMA 2005: 186-194
5	EE	Liangxiao Jiang, Harry Zhang, Jiang Su: Instance Cloning Local Naive Bayes. Canadian Conference on AI 2005: 280-291
4	EE	Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: Learning Tree Augmented Naive Bayes for Ranking. DASFAA 2005: 688-698
3	EE	Liangxiao Jiang, Harry Zhang: Learning Instance Greedily Cloning Naive Bayes for Ranking. ICDM 2005: 202-209
2	EE	Harry Zhang, Liangxiao Jiang, Jiang Su: Augmenting naive Bayes for ranking. ICML 2005: 1020-1027
1	EE	Liangxiao Jiang, Yuanyuan Guo: Learning Lazy Naive Bayesian Classifiers for Ranking. ICTAI 2005: 412-416

Coauthor Index

1	Zhihua Cai	[4] [6] [11] [12] [13] [16] [17] [18] [19]
2	Yuanyuan Guo	[1]
3	Siwei Jiang	[11] [12]
4	Chaoqun Li	[10]
5	Jiang Su	[2] [4] [5] [6] [7] [8]
6	Dianhong Wang	[16] [17] [18] [19]
7	Xuesong Yan	[19]
8	Dan Zeng	[11] [12]
9	Harry Zhang	[2] [3] [4] [5] [6] [7] [8] [9] [13] [14] [15] [18]
10	Sifa Zhang	[11] [12]

Colors in the list of coauthors