Curriculum learning of Bayesian network structures

	Curriculum learning of Bayesian network structures
	Zhao, Yanpeng1 ; Chen, Yetian 2; Tu, Kewei1 ; Tian, Jin 2
	2015
会议录名称	7TH ASIAN CONFERENCE ON MACHINE LEARNING, ACML 2015
页码	269-284
发表状态	已发表
摘要	Bayesian networks (BNs) are directed graphical models that have been widely used in various tasks for probabilistic reasoning and causal modeling. One major challenge in these tasks is to learn the BN structures from data. In this paper, we propose a novel heuristic algorithm for BN structure learning that takes advantage of the idea of curriculum learning. Our algorithm learns the BN structure by stages. At each stage a subnet is learned over a selected subset of the random variables conditioned on fixed values of the rest of the variables. The selected subset grows with stages and eventually includes all the variables. We prove theoretical advantages of our algorithm and also empirically show that it outperformed the state-of-the-art heuristic approach in learning BN structures. © 2015 Y. Zhao, Y. Chen, K. Tu & J. Tian.
会议地点	Hong Kong, Hong kong
收录类别	EI
出版者	Asian Conference on Machine Learning
EI入藏号	20173104000161
EI主题词	Artificial intelligence ; Bayesian networks ; Curricula ; Heuristic algorithms ; Heuristic methods ; Knowledge based systems ; Learning algorithms ; Learning systems
EI分类号	Computer Software, Data Handling and Applications:723 ; Education:901.2 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/13420
专题	信息科学与技术学院信息科学与技术学院_PI研究组_屠可伟组信息科学与技术学院_硕士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Department of Computer Science, Iowa State University, Ames; IA, United States
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Zhao, Yanpeng,Chen, Yetian,Tu, Kewei,et al. Curriculum learning of Bayesian network structures[C]:Asian Conference on Machine Learning,2015:269-284.