New data-driven approaches to improve probabilistic model structure learning

• المؤلف الرئيسي: Zhao, Jianjun
• مؤلفون آخرون: Pan Jialin, Sinno
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2019
• الموضوعات: Science::Mathematics::Statistics; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/84123; http://hdl.handle.net/10220/50443

To learn the network structures used in probabilistic models (e.g., Bayesian network), many researchers proposed structure learning algorithms to extract the network structure from data. However, structure learning is a challenging problem due to the extremely large number of possible structure cand...