Fengzhan Tian

According to our database, Fengzhan Tian authored at least 22 papers between 2001 and 2008.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2008

A selective Bayes Classifier for classifying incomplete data based on gain ratio.

Jingnian Chen, Houkuan Huang, Fengzhan Tian, Shengfeng Tian

Knowl. Based Syst., 2008

A Selective Classifier for Incomplete Data.

Jingnian Chen, Houkuan Huang, Fengzhan Tian, Shengfeng Tian

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.

Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score.

Fengzhan Tian, Yanfeng Zhang, Zhihai Wang, Houkuan Huang

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method.

Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu

Proceedings of the Advances in Neural Networks, 2007

A Multilevel Model of Filtering Chinese Bad Information Based on Heuristic Rules and Text Classification.

Yinli Wang, Fengzhan Tian, Yanfeng Zhang

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

An Algorithm for Generating Classification Rules Based on Extended Function Dependency.

Xiaoping Zhang, Fengzhan Tian, Houkuan Huang

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

An Improved Greedy Bayesian Network Learning Algorithm on Limited Data.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the Artificial Neural Networks, 2007

A Discriminative Learning Method of TAN Classifier.

Qi Feng, Fengzhan Tian, Houkuan Huang

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Ensembling Bayesian network structure learning on limited data.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method.

Fengzhan Tian, Haisheng Li, Zhihai Wang

Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

Bayesian Network Structure Ensemble Learning.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

Frequent Itemset Mining Based on Heuristic Two Level Counting.

Feng Liu, Fengzhan Tian, QiLiang Zhu

Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

2005

Learning TAN from Incomplete Data.

Fengzhan Tian, Zhihai Wang, Jian Yu, Houkuan Huang

Proceedings of the Advances in Intelligent Computing, 2005

An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis.

Fengzhan Tian, Shengfeng Tian, Jian Yu, Houkuan Huang

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2003

Research on Modeling with Dynamic Bayesian Networks.

Fengzhan Tian, Hongwei Zhang, Yuchang Lu

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Learning Bayesian Networks from Incomplete Data Based on EMI Method.

Fengzhan Tian, Hongwei Zhang, Yuchang Lu

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001

Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms.

Fengzhan Tian, Yuchang Lu, Chunyi Shi

Proceedings of the Knowledge Discovery and Data Mining, 2001

A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks.

Hongwei Zhang, Fengzhan Tian, Yuchang Lu

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Incremental Learning of Bayesian Networks with Hidden Variables.

Fengzhan Tian, Hongwei Zhang, Yuchang Lu, Chunyi Shi

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001