Zhigao Guo
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Strathclydeas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4311-4887as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5101477157as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
A survey of Bayesian Network structure learning,
A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets,
Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation,
Effective and efficient structure learning with pruning and model averaging strategies,
Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method,
Learning Bayesian network parameters via minimax algorithm,
Learning Bayesian networks using the constrained maximum a posteriori probability method,
The impact of prior knowledge on causal structure learning
← Authored by 8
A survey of Bayesian Network structure learning,
A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets,
Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation,
Effective and efficient structure learning with pruning and model averaging strategies,
Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method,
Learning Bayesian network parameters via minimax algorithm,
Learning Bayesian networks using the constrained maximum a posteriori probability method,
The impact of prior knowledge on causal structure learning
Affiliated with 2
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Summary
Zhigao Guo is a human[1].