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A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning

by 1, 1,2,* and 1
1
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
2
Collaborative Innovation Center on Meteorological Disaster Forecast, Warning and Assessment, Nanjing University of Information Science and Engineering, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(12), 2054; https://doi.org/10.3390/sym12122054
Received: 16 November 2020 / Revised: 5 December 2020 / Accepted: 7 December 2020 / Published: 11 December 2020
(This article belongs to the Section Mathematics and Symmetry/Asymmetry)
The Bayesian Network (BN) has been widely applied to causal reasoning in artificial intelligence, and the Search-Score (SS) method has become a mainstream approach to mine causal relationships for establishing BN structure. Aiming at the problems of local optimum and low generalization in existing SS algorithms, we introduce the Ensemble Learning (EL) and causal analysis to propose a new BN structural learning algorithm named C-EL. Combined with the Bagging method and causal Information Flow theory, the EL mechanism for BN structural learning is established. Base learners of EL are trained by using various SS algorithms. Then, a new causality-based weighted ensemble way is proposed to achieve the fusion of different BN structures. To verify the validity and feasibility of C-EL, we compare it with six different SS algorithms. The experiment results show that C-EL has high accuracy and a strong generalization ability. More importantly, it is capable of learning more accurate structures under the small training sample condition. View Full-Text
Keywords: Bayesian network; structural learning; ensemble learning; information flow Bayesian network; structural learning; ensemble learning; information flow
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MDPI and ACS Style

Li, M.; Zhang, R.; Liu, K. A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning. Symmetry 2020, 12, 2054. https://doi.org/10.3390/sym12122054

AMA Style

Li M, Zhang R, Liu K. A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning. Symmetry. 2020; 12(12):2054. https://doi.org/10.3390/sym12122054

Chicago/Turabian Style

Li, Ming, Ren Zhang, and Kefeng Liu. 2020. "A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning" Symmetry 12, no. 12: 2054. https://doi.org/10.3390/sym12122054

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