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## Search the dblp DataBase
Liangxiao Jiang:
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## Publications of Author- Harry Zhang, Liangxiao Jiang, Jiang Su
**Hidden Naive Bayes.**[Citation Graph (0, 0)][DBLP] AAAI, 2005, pp:919-924 [Conf] - Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
**One Dependence Augmented Naive Bayes.**[Citation Graph (0, 0)][DBLP] ADMA, 2005, pp:186-194 [Conf] - Liangxiao Jiang, Harry Zhang, Jiang Su
**Learning**[Citation Graph (0, 0)][DBLP]*k*-Nearest Neighbor Naive Bayes for Ranking. ADMA, 2005, pp:175-185 [Conf] - Liangxiao Jiang, Harry Zhang
**Learning Naive Bayes for Probability Estimation by Feature Selection.**[Citation Graph (0, 0)][DBLP] Canadian Conference on AI, 2006, pp:503-514 [Conf] - Liangxiao Jiang, Harry Zhang
**Lazy Averaged One-Dependence Estimators.**[Citation Graph (0, 0)][DBLP] Canadian Conference on AI, 2006, pp:515-525 [Conf] - Liangxiao Jiang, Harry Zhang, Jiang Su
**Instance Cloning Local Naive Bayes.**[Citation Graph (0, 0)][DBLP] Canadian Conference on AI, 2005, pp:280-291 [Conf] - Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
**Learning Tree Augmented Naive Bayes for Ranking.**[Citation Graph (0, 0)][DBLP] DASFAA, 2005, pp:688-698 [Conf] - Liangxiao Jiang, Harry Zhang, Zhihua Cai
**Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted.**[Citation Graph (0, 0)][DBLP] FSKD, 2006, pp:365-368 [Conf] - Liangxiao Jiang, Harry Zhang
**Learning Instance Greedily Cloning Naive Bayes for Ranking.**[Citation Graph (0, 0)][DBLP] ICDM, 2005, pp:202-209 [Conf] - Harry Zhang, Liangxiao Jiang, Jiang Su
**Augmenting naive Bayes for ranking.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:1020-1027 [Conf] - Liangxiao Jiang, Yuanyuan Guo
**Learning Lazy Naive Bayesian Classifiers for Ranking.**[Citation Graph (0, 0)][DBLP] ICTAI, 2005, pp:412-416 [Conf] - Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
**A Novel One-dependence Estimator Based on Multi-parents.**[Citation Graph (0, 0)][DBLP] ISDA (1), 2006, pp:639-643 [Conf] - Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
**Augmented Naive Bayes Based on Evolutional Strategy.**[Citation Graph (0, 0)][DBLP] ISDA (1), 2006, pp:446-450 [Conf] - Chaoqun Li, Liangxiao Jiang
**Using Locally Weighted Learning to Improve SMOreg for Regression.**[Citation Graph (0, 0)][DBLP] PRICAI, 2006, pp:375-384 [Conf] - Liangxiao Jiang, Harry Zhang
**Weightily Averaged One-Dependence Estimators.**[Citation Graph (0, 0)][DBLP] PRICAI, 2006, pp:970-974 [Conf] - Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan
**Survey of Improving Naive Bayes for Classification.**[Citation Graph (0, 0)][DBLP] ADMA, 2007, pp:134-145 [Conf] - Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai
**Learning Locally Weighted C4.4 for Class Probability Estimation.**[Citation Graph (0, 0)][DBLP] Discovery Science, 2007, pp:104-115 [Conf] - Liangxiao Jiang, Dianhong Wang, Zhihua Cai
**Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate.**[Citation Graph (0, 0)][DBLP] ICIC (2), 2007, pp:475-484 [Conf] - Zhihua Cai, Dianhong Wang, Liangxiao Jiang
**K-Distributions: A New Algorithm for Clustering Categorical Data.**[Citation Graph (0, 0)][DBLP] ICIC (2), 2007, pp:436-443 [Conf] **Survey of Improving K-Nearest-Neighbor for Classification.**[Citation Graph (, )][DBLP]**An Improved Attribute Selection Measure for Decision Tree Induction.**[Citation Graph (, )][DBLP]**A Combined Classification Algorithm Based on C4.5 and NB.**[Citation Graph (, )][DBLP]
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