variationalbayesiandataanalysisonmanifold | |
Yang Ming | |
刊名 | controltheoryandtechnology |
2018 | |
卷号 | 016期号:003页码:212 |
ISSN号 | 2095-6983 |
英文摘要 | In this paper, variational inference is studied on manifolds with certain metrics. To solve the problem, the analysis is first proposed for the variational Bayesian on Lie group, and then extended to the manifold that is approximated by Lie groups. Then the convergence of the proposed algorithm with respect to the manifold metric is proved in two iterative processes: variational Bayesian expectation (VB-F) step and variational Bayesian maximum (VB-M) step. Moreover, the effective of different metrics for Bayesian analysis is discussed. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/44638] |
专题 | 中国科学院数学与系统科学研究院 |
作者单位 | 中国科学院数学与系统科学研究院 |
推荐引用方式 GB/T 7714 | Yang Ming. variationalbayesiandataanalysisonmanifold[J]. controltheoryandtechnology,2018,016(003):212. |
APA | Yang Ming.(2018).variationalbayesiandataanalysisonmanifold.controltheoryandtechnology,016(003),212. |
MLA | Yang Ming."variationalbayesiandataanalysisonmanifold".controltheoryandtechnology 016.003(2018):212. |
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