Lungan Zhang

According to our database, Lungan Zhang authored at least 11 papers between 2016 and 2019.

Collaborative distances:

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

2019

A Correlation-Based Feature Weighting Filter for Naive Bayes.

Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu

IEEE Trans. Knowl. Data Eng., 2019

Class-specific attribute weighted naive Bayes.

Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang

Pattern Recognit., 2019

A discriminative model selection approach and its application to text classification.

Lungan Zhang, Liangxiao Jiang, Chaoqun Li

Neural Comput. Appl., 2019

Toward naive Bayes with attribute value weighting.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Neural Comput. Appl., 2019

2018

Weight Adjusted Naive Bayes.

Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Attribute Value Weighted Average of One-Dependence Estimators.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Entropy, 2017

2016

Two feature weighting approaches for naive Bayes text classifiers.

Lungan Zhang, Liangxiao Jiang, Chaoqun Li, Ganggang Kong

Knowl. Based Syst., 2016

Structure extended multinomial naive Bayes.

Liangxiao Jiang, Shasha Wang, Chaoqun Li, Lungan Zhang

Inf. Sci., 2016

A New Feature Selection Approach to Naive Bayes Text Classifiers.

Lungan Zhang, Liangxiao Jiang, Chaoqun Li

Int. J. Pattern Recognit. Artif. Intell., 2016

Deep feature weighting for naive Bayes and its application to text classification.

Liangxiao Jiang, Chaoqun Li, Shasha Wang, Lungan Zhang

Eng. Appl. Artif. Intell., 2016

C4.5 or Naive Bayes: A Discriminative Model Selection Approach.

Lungan Zhang, Liangxiao Jiang, Chaoqun Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016