Zhi-gao Guo

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
The impact of prior knowledge on causal structure learning.
Knowl. Inf. Syst., 2023

A survey of Bayesian Network structure learning.
Artif. Intell. Rev., 2023

2022
Improving Bayesian Network Structure Learning in the Presence of Measurement Error.
J. Mach. Learn. Res., 2022

Effective and efficient structure learning with pruning and model averaging strategies.
Int. J. Approx. Reason., 2022

Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning.
CoRR, 2022

Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation.
IEEE Access, 2022

A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions.
IEEE Access, 2022

2021
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Int. J. Approx. Reason., 2021

Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters.
Entropy, 2021

Information fusion between knowledge and data in Bayesian network structure learning.
CoRR, 2021

2020
Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets.
Entropy, 2020

2019
Learning Bayesian networks using the constrained maximum a posteriori probability method.
Pattern Recognit., 2019

Learning Bayesian network parameters via minimax algorithm.
Int. J. Approx. Reason., 2019

2018
Structure Learning of Bayesian Networks by Finding the Optimal Ordering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method.
Int. J. Approx. Reason., 2017

Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data.
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016
Bayesian approach to learn Bayesian networks using data and constraints.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method.
Proceedings of the Advanced Methodologies for Bayesian Networks, 2015


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