Zhigao Guo

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Bayesian Network Structures

Model Averaging

Hill Climbing Search

Maximum A Posteriori Estimation

Top Venues

Int. J. Approx. Reason.

Publications

Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
The impact of prior knowledge on causal structure learning. Knowl. Inf. Syst. 65 (8) (2023)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. Artif. Intell. Rev. 56 (8) (2023)
Ruohai Di, Peng Wang, Jiao Wu, Zhigao Guo
A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions. IEEE Access 10 (2022)
Yongyan Hou, Ao Yang, Wenqiang Guo, Enrang Zheng, Qinkun Xiao, Zhigao Guo, Zixuan Huang
Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation. IEEE Access 10 (2022)
Yang Liu, Anthony C. Constantinou, Zhigao Guo
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. J. Mach. Learn. Res. 23 (2022)
Zhigao Guo, Anthony C. Constantinou
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. CoRR (2022)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. 151 (2022)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. CoRR (2021)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. CoRR (2021)
Ruohai Di, Peng Wang, Chuchao He, Zhigao Guo
Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters. Entropy 23 (10) (2021)
Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
Information fusion between knowledge and data in Bayesian network structure learning. CoRR (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. 131 (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR (2020)
Zhigao Guo, Anthony C. Constantinou
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR (2020)
Yang Liu, Anthony C. Constantinou, Zhigao Guo
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. CoRR (2020)
Zhigao Guo, Anthony C. Constantinou
Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. Entropy 22 (10) (2020)
Zhigao Guo, Xiaoguang Gao, Ruohai Di
Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data. AMBN (2017)