Efficient Heuristics for Structure Learning of k-Dependence Bayesian Classifier. - Yang Liu 170; Limin Wang 007; Minghui Sun (Entropy, 2018)

Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning. - Siqi Gao; Hua Lou; Limin Wang 007; Yang Liu 170; Tiehu Fan (Entropy, 2019)

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. - Limin Wang 007; Yang Liu 170; Musa Mammadov; Minghui Sun; Sikai Qi (Entropy, 2019)

Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators. - Limin Wang 007; Jie Chen 066; Yang Liu 170; Minghui Sun (IEEE Access, 2020)

Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. - Yang Liu 170; Limin Wang 007; Musa Mammadov (Knowl. Based Syst., 2020)

Averaged tree-augmented one-dependence estimators. - He Kong; Xiaohu Shi; Limin Wang 007; Yang Liu 170; Musa Mammadov; Gaojie Wang (Appl. Intell., 2021)

Alleviating the independence assumptions of averaged one-dependence estimators by model weighting. - Limin Wang 007; Peng Chen; Musa Mammadov; Yang Liu 170; Si-Yuan Wu (Intell. Data Anal., 2021)

Bagging k-dependence Bayesian network classifiers. - Limin Wang 007; Sikai Qi; Yang Liu 170; Hua Lou; Xin Zuo (Intell. Data Anal., 2021)

Hierarchical Independence Thresholding for learning Bayesian network classifiers. - Yang Liu 170; Limin Wang 007; Musa Mammadov; Shenglei Chen; Gaojie Wang; Sikai Qi; Minghui Sun (Knowl. Based Syst., 2021)