Extended variational inference for Dirichlet process mixture of Beta‐Liouville distributions for proportional data modeling-Reference-Cited by-同舟云学术

Extended variational inference for Dirichlet process mixture of Beta‐Liouville distributions for proportional data modeling

Author:

Lai Yuping¹^ORCID,Guan Wenbo²^ORCID,Luo Lijuan³^ORCID,Ruan Qiang⁴^ORCID,Ping Yuan⁵^ORCID,Song Heping⁶^ORCID,Meng Hongying⁷^ORCID,Pan Yu³^ORCID

Affiliation:

1. School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China

2. School of Information Science and Technology North China University of Technology Beijing China

3. School of Business and Management Shanghai International Studies University Shanghai China

4. DigApis Information Security Technology Co. Ltd. Nantong Jiangsu China

5. School of Information Engineering Xuchang University Xuchang China

6. School of Computer Science and Communications Engineering Jiangsu University Zhenjiang China

7. Electronic and Electrical Engineering Department Brunel University London UK

Funder

Shanghai Planning Office of Philosophy and Social Science

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

Reference74 articles.

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