2008 |
24 | EE | Liangxiao Jiang,
Chaoqun Li,
Jia Wu,
Jian Zhu:
A Combined Classification Algorithm Based on C4.5 and NB.
ISICA 2008: 350-359 |
23 | EE | Wenyin Gong,
Zhihua Cai,
Liangxiao Jiang:
Enhancing the performance of differential evolution using orthogonal design method.
Applied Mathematics and Computation 206(1): 56-69 (2008) |
22 | EE | Liangxiao Jiang,
Dianhong Wang,
Harry Zhang,
Zhihua Cai,
Bo Huang:
Using Instance cloning to Improve Naive Bayes for Ranking.
IJPRAI 22(6): 1121-1140 (2008) |
2007 |
21 | EE | Liangxiao Jiang,
Dianhong Wang,
Zhihua Cai,
Xuesong Yan:
Survey of Improving Naive Bayes for Classification.
ADMA 2007: 134-145 |
20 | EE | Liangxiao Jiang,
Harry Zhang,
Dianhong Wang,
Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation.
Discovery Science 2007: 104-115 |
19 | EE | Liangxiao Jiang,
Zhihua Cai,
Dianhong Wang,
Siwei Jiang:
Survey of Improving K-Nearest-Neighbor for Classification.
FSKD (1) 2007: 679-683 |
18 | EE | Dianhong Wang,
Liangxiao Jiang:
An Improved Attribute Selection Measure for Decision Tree Induction.
FSKD (4) 2007: 654-658 |
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 |