Yang Liu

According to our database, Yang Liu authored at least 9 papers between 2018 and 2021.

Collaborative distances:

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

2021

Hierarchical Independence Thresholding for learning Bayesian network classifiers.

Yang Liu, Limin Wang, Musa Mammadov, Shenglei Chen, Gaojie Wang, Sikai Qi, Minghui Sun

Knowl. Based Syst., 2021

Bagging k-dependence Bayesian network classifiers.

Limin Wang, Sikai Qi, Yang Liu, Hua Lou, Xin Zuo

Intell. Data Anal., 2021

Alleviating the independence assumptions of averaged one-dependence estimators by model weighting.

Limin Wang, Peng Chen, Musa Mammadov, Yang Liu, Si-Yuan Wu

Intell. Data Anal., 2021

Averaged tree-augmented one-dependence estimators.

He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang

Appl. Intell., 2021

2020

Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption.

Yang Liu, Limin Wang, Musa Mammadov

Knowl. Based Syst., 2020

Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators.

Limin Wang, Jie Chen, Yang Liu, Minghui Sun

IEEE Access, 2020

2019

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance.

Limin Wang, Yang Liu, Musa Mammadov, Minghui Sun, Sikai Qi

Entropy, 2019

Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning.

Siqi Gao, Hua Lou, Limin Wang, Yang Liu, Tiehu Fan

Entropy, 2019

2018

Efficient Heuristics for Structure Learning of <i>k</i>-Dependence Bayesian Classifier.

Yang Liu, Limin Wang, Minghui Sun

Entropy, 2018