Structure learning for weighted networks based on Bayesian nonparametric models

doi:10.1007/s13042-015-0439-1

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Structure learning for weighted networks based on Bayesian nonparametric models
	Jiang XJ(蒋晓娟)1 ; Zhang WS(张文生)1 ; zhang wensheng
发表期刊	INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
	2016-06
卷号	7 期号:3 页码:479-489
摘要	With the increase of availability and scope of complex networks, structure learning for networks has received an enormous amount of interest in many fields, including physics, computer and information sciences, biology and the social sciences. To extract compact and flexible representations for weightednetworks, we propose a new Bayesian nonparametric model to learn from both the existence and weight of interactions between nodes. Our model adopts Dirichlet process prior to automatically infer the partition over nodes in weighted networks without specifying the number of clusters. This is vital for structurediscovery in complex networks, especially for novel domains where we have little prior knowledge. We develop a mean-field variational algorithm to efficiently approximate the model's posterior distribution over infinite latent clusters. Conducting extensive experiments on synthetic data set and four popular data sets, we demonstrate that our model can effectively capture the latent structure for complex weighted networks.
关键词	Structure Learning Clustering Probabilistic Graph Models Bayesian Nonparametric Models Variational Inference
学科领域	Computer Science, Artificial Intelligence
DOI	10.1007/s13042-015-0439-1
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20350
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	zhang wensheng
作者单位	1.中国科学院自动化研究所 2.中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Jiang XJ,Zhang WS,zhang wensheng. Structure learning for weighted networks based on Bayesian nonparametric models[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2016,7(3):479-489.
APA	Jiang XJ,Zhang WS,&zhang wensheng.(2016).Structure learning for weighted networks based on Bayesian nonparametric models.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,7(3),479-489.
MLA	Jiang XJ,et al."Structure learning for weighted networks based on Bayesian nonparametric models".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 7.3(2016):479-489.

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