Extended variational inference for Dirichlet process mixture of Beta‐Liouville distributions for proportional data modeling
| Autor: | Yuan Ping, Hongying Meng, Wenbo Guan, Heping Song, Qiang Ruan, Lijuan Luo, Yu Pan, Yuping Lai |
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| Rok vydání: | 2021 |
| Předmět: |
infinite mixture model
text categorization beta-Liouville distribution Inference object detection dirichlet process Theoretical Computer Science Data modeling Human-Computer Interaction extended variational inference Artificial Intelligence Dirichlet process mixture Applied mathematics Beta (velocity) Software bayesian estimation Mathematics |
| Zdroj: | International Journal of Intelligent Systems. 37:4277-4306 |
| ISSN: | 1098-111X 0884-8173 |
| DOI: | 10.1002/int.22721 |
| Popis: | The General Project of Science and Technology Plan of Beijing Municipal Commission of Education. Grant Number: KM201910009014; Shanghai Planning Office of Philosophy and Social Science. Grant Number: 2019EGL018; The Fundamental Research Funds for the Central Universities. Grant Number: 2020RC38; Key Technologies R & D Program of He'nan Province. Grant Number: 212102210084; The National Natural Science Foundation of China (NSFC). Grant Number: 71942003. |
| Databáze: | OpenAIRE |
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