Improving Bayesian network local structure learning via data-driven symmetry correction methods

• Main Authors: Zhao, Jianjun, Ho, Shen-Shyang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Bayesian Network; Symmetry Correction
• Online Access: https://hdl.handle.net/10356/151697
• Institution: Nanyang Technological University

Learning the structure of a Bayesian network (BN) from data is NP-hard. To efficiently handle high-dimensional datasets, many BN local structure learning algorithms are proposed. These learning algorithms can be categorized into two types: constraint-based and score-based. These learning algorithms...