Generative and discriminative infinite restricted Boltzmann machine training-Reference-Cited by-同舟云学术

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Generative and discriminative infinite restricted Boltzmann machine training

Published:2022-05-19 Issue:10 Volume:37 Page:7857-7887
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Wang Qianglong¹^ORCID,Gao Xiaoguang¹^ORCID,Wan Kaifang¹^ORCID,Hu Zijian¹^ORCID

Affiliation:

1. School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

Hindawi Limited

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22908

Reference40 articles.

1. A Fast Learning Algorithm for Deep Belief Nets

2. A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets

3. Training Products of Experts by Minimizing Contrastive Divergence

4. Reducing the Dimensionality of Data with Neural Networks

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