Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions

Hanen Borchani; Maher Chaouachi; Nahla Ben Amor

doi:10.1007/978-3-540-75256-1_5

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Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions

Hanen Borchani Maher Chaouachi Nahla Ben Amor

Year: 2007 Lecture notes in computer science Pages: 17-29 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-75256-1_5

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Keywords:

Computer science Observational study Bayesian network Causal inference Machine learning Bayesian probability Psychological intervention Greedy algorithm Artificial intelligence Algorithm Econometrics Mathematics Statistics

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Cognitive Science and Mapping

Physical Sciences → Computer Science → Artificial Intelligence

AI-based Problem Solving and Planning

Physical Sciences → Computer Science → Artificial Intelligence

Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions

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Citation History

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