2008 |
23 | EE | Jingnian Chen,
Houkuan Huang,
Fengzhan Tian,
Shengfeng Tian:
A Selective Classifier for Incomplete Data.
PAKDD 2008: 870-876 |
22 | EE | Jingnian Chen,
Houkuan Huang,
Fengzhan Tian,
Shengfeng Tian:
A selective Bayes Classifier for classifying incomplete data based on gain ratio.
Knowl.-Based Syst. 21(7): 530-534 (2008) |
2007 |
21 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data.
ADMA 2007: 412-421 |
20 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
Bayesian Network Structure Ensemble Learning.
ADMA 2007: 454-465 |
19 | | Fengzhan Tian,
Haisheng Li,
Zhihai Wang:
Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method.
Artificial Intelligence and Pattern Recognition 2007: 435-442 |
18 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data.
Australian Conference on Artificial Intelligence 2007: 80-89 |
17 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
Ensembling Bayesian network structure learning on limited data.
CIKM 2007: 927-930 |
16 | EE | Qi Feng,
Fengzhan Tian,
Houkuan Huang:
A Discriminative Learning Method of TAN Classifier.
ECSQARU 2007: 443-452 |
15 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
An Improved Greedy Bayesian Network Learning Algorithm on Limited Data.
ICANN (1) 2007: 49-57 |
14 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data.
ICDM Workshops 2007: 495-500 |
13 | | Yinli Wang,
Fengzhan Tian,
Yanfeng Zhang:
A Multilevel Model of Filtering Chinese Bad Information Based on Heuristic Rules and Text Classification.
IICAI 2007: 1783-1793 |
12 | EE | Fengzhan Tian,
Haisheng Li,
Zhihai Wang,
Jian Yu:
Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method.
ISNN (2) 2007: 414-423 |
11 | EE | Xiaoping Zhang,
Fengzhan Tian,
Houkuan Huang:
An Algorithm for Generating Classification Rules Based on Extended Function Dependency.
International Conference on Computational Science (3) 2007: 645-652 |
10 | EE | Fengzhan Tian,
Yanfeng Zhang,
Zhihai Wang,
Houkuan Huang:
Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score.
KES (3) 2007: 166-173 |
9 | EE | Fengzhan Tian,
Feng Liu,
Zhihai Wang,
Jian Yu:
Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.
PAKDD 2007: 801-808 |
2006 |
8 | EE | Feng Liu,
Fengzhan Tian,
QiLiang Zhu:
Frequent Itemset Mining Based on Heuristic Two Level Counting.
ICICIC (2) 2006: 640-643 |
2005 |
7 | EE | Fengzhan Tian,
Shengfeng Tian,
Jian Yu,
Houkuan Huang:
An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis.
CIS (1) 2005: 33-40 |
6 | EE | Fengzhan Tian,
Zhihai Wang,
Jian Yu,
Houkuan Huang:
Learning TAN from Incomplete Data.
ICIC (1) 2005: 495-504 |
2003 |
5 | EE | Fengzhan Tian,
Hongwei Zhang,
Yuchang Lu:
Learning Bayesian Networks from Incomplete Data Based on EMI Method.
ICDM 2003: 323-330 |
4 | EE | Fengzhan Tian,
Hongwei Zhang,
Yuchang Lu:
Research on Modeling with Dynamic Bayesian Networks.
Web Intelligence 2003: 606-609 |
2001 |
3 | EE | Fengzhan Tian,
Hongwei Zhang,
Yuchang Lu,
Chunyi Shi:
Incremental Learning of Bayesian Networks with Hidden Variables.
ICDM 2001: 651-652 |
2 | EE | Hongwei Zhang,
Fengzhan Tian,
Yuchang Lu:
A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks.
IDA 2001: 330-339 |
1 | EE | Fengzhan Tian,
Yuchang Lu,
Chunyi Shi:
Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms.
PAKDD 2001: 568-574 |