Belief Propagation for Probabilistic Slow Feature Analysis-Reference-Cited by-同舟云学术

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Belief Propagation for Probabilistic Slow Feature Analysis

Published:2017-08-15 Issue:8 Volume:86 Page:084802
ISSN:0031-9015
Container-title:Journal of the Physical Society of Japan
language:en
Short-container-title:J. Phys. Soc. Jpn.

Author:

Omori Toshiaki¹,Sekiguchi Tomoki²,Okada Masato²³

Affiliation:

1. Graduate School of Engineering, Kobe University, Kobe 657-8501, Japan

2. Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan

3. RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan

Publisher

Physical Society of Japan

Subject

General Physics and Astronomy

Link

https://journals.jps.jp/doi/pdf/10.7566/JPSJ.86.084802

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault diagnosis of air handling unit via combining probabilistic slow feature analysis and attention residual network;Neural Computing and Applications;2023-08-10

2. Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis–Hastings Method;Entropy;2022-01-12

3. Estimation of Neuronal Dynamics of Izhikevich Neuron Models from Spike-Train Data with Particle Markov Chain Monte Carlo Method;Journal of the Physical Society of Japan;2021-10-15

4. Replica Exchange Particle-Gibbs Method with Ancestor Sampling;Journal of the Physical Society of Japan;2020-10-15

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