Limin Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Bayesian Classifier

Structure Learning

Independence Assumption

Bayesian Networks

Top Venues

Intell. Data Anal.

Knowl. Based Syst.

Publications

Lu Guo, Limin Wang, Qilong Li, Kuo Li
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data. IEEE Trans. Big Data 10 (4) (2024)
Limin Wang, Lingling Li, Qilong Li, Kuo Li
Learning high-dependence Bayesian network classifier with robust topology. Expert Syst. Appl. 239 (2024)
Limin Wang, Junyang Wei, Kuo Li, Jiaping Zhou
Exploiting the implicit independence assumption for learning directed graphical models. Intell. Data Anal. 27 (4) (2023)
Kuo Li, Aimin Wang, Limin Wang, Hangqi Fan, Shuai Zhang
Identification of informational and probabilistic independence by adaptive thresholding. Intell. Data Anal. 26 (5) (2022)
Limin Wang, Yibin Xie, Meng Pang, Junyang Wei
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting. Knowl. Based Syst. 250 (2022)
Limin Wang, Jiaping Zhou, Junyang Wei, Meng Pang, Minghui Sun
Learning causal Bayesian networks based on causality analysis for classification. Eng. Appl. Artif. Intell. 114 (2022)
Limin Wang, Peng Chen, Shenglei Chen, Minghui Sun
A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier. Intell. Data Anal. 25 (1) (2021)
He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang
Averaged tree-augmented one-dependence estimators. Appl. Intell. 51 (7) (2021)
Limin Wang, Peng Chen, Musa Mammadov, Yang Liu, Si-Yuan Wu
Alleviating the independence assumptions of averaged one-dependence estimators by model weighting. Intell. Data Anal. 25 (6) (2021)
Yang Liu, Limin Wang, Musa Mammadov, Shenglei Chen, Gaojie Wang, Sikai Qi, Minghui Sun
Hierarchical Independence Thresholding for learning Bayesian network classifiers. Knowl. Based Syst. 212 (2021)
Zigang Zhang, Minghui Sun, BoYu Gao, Limin Wang
2-Thumbs Typing: A Novel Bimanual Text Entry Method in Virtual Reality Environments. VR Workshops (2021)
Limin Wang, Sikai Qi, Yang Liu, Hua Lou, Xin Zuo
Bagging k-dependence Bayesian network classifiers. Intell. Data Anal. 25 (3) (2021)
Limin Wang, Jie Chen, Yang Liu, Minghui Sun
Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators. IEEE Access 8 (2020)
Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov
Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions. IEEE Access 8 (2020)
Zhiyi Duan, Limin Wang, Shenglei Chen, Minghui Sun
Instance-based weighting filter for superparent one-dependence estimators. Knowl. Based Syst. 203 (2020)
Zhiyi Duan, Limin Wang, Minghui Sun
Efficient heuristics for learning Bayesian network from labeled and unlabeled data. Intell. Data Anal. 24 (2) (2020)
Minghui Sun, Mingming Cao, Limin Wang, Qian Qian
PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR. IEEE Access 8 (2020)
Yang Liu, Limin Wang, Musa Mammadov
Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. Knowl. Based Syst. 208 (2020)
Minghui Sun, Pengcheng Ding, Jiageng Song, Miao Song, Limin Wang
"Watch Your Step": Precise Obstacle Detection and Navigation for Mobile Users Through Their Mobile Service. IEEE Access 7 (2019)
Yuguang Long, Limin Wang, Minghui Sun
Structure Extension of Tree-Augmented Naive Bayes. Entropy 21 (8) (2019)
Zhiyi Duan, Limin Wang, Minghui Sun
Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem. IEEE Access 7 (2019)
Siqi Gao, Hua Lou, Limin Wang, Yang Liu, Tiehu Fan
Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning. Entropy 21 (8) (2019)
Zhiyi Duan, Limin Wang, Musa Mammadov, Hua Lou, Ming-Hui Sun
Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data. Entropy 21 (5) (2019)
Limin Wang, Yang Liu, Musa Mammadov, Minghui Sun, Sikai Qi
Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. Entropy 21 (5) (2019)
Yang Zhang, Limin Wang, Zhiyi Duan, Minghui Sun
Structure Learning of Bayesian Network Based on Adaptive Thresholding. Entropy 21 (7) (2019)
Limin Wang, Gaojie Wang, Zhiyi Duan, Hua Lou, Minghui Sun
Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes. IEEE Access 7 (2019)
Yuguang Long, Limin Wang, Zhiyi Duan, Minghui Sun
Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies. IEEE Access 7 (2019)
Yang Liu, Limin Wang, Minghui Sun
-Dependence Bayesian Classifier. Entropy 20 (12) (2018)
Limin Wang, Shenglei Chen, Musa Mammadov
Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data. PAKDD (1) (2018)
Minghui Sun, Wenzhao Gu, Limin Wang, Liyan Dong, Qian Qian
Investigating the effects of vibrotactile feedback on human performance in navigation tasks. Comput. Electr. Eng. 67 (2018)
Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
DE for Large Data. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
Selective AnDE for large data learning: a low-bias memory constrained approach. Knowl. Inf. Syst. 50 (2) (2017)
Zhiyi Duan, Limin Wang
-Dependence Bayesian Classifier Ensemble. Entropy 19 (12) (2017)
Yi Sun, Limin Wang, Minghui Sun
Label-Driven Learning Framework: Towards More Accurate Bayesian Network Classifiers through Discrimination of High-Confidence Labels. Entropy 19 (12) (2017)
Limin Wang, Haoyu Zhao, Minghui Sun, Yue Ning
General and Local: Averaged k-Dependence Bayesian Classifiers. Entropy 17 (6) (2015)
Limin Wang, Minghui Sun, Chunhong Cao
How to Mine Information from Each Instance to Extract anAbbreviated and Credible Logical Rule. Entropy 16 (10) (2014)