Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images-Reference-Cited by-同舟云学术

Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images

Published:2021-11-20 Issue: Volume: Page:
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Container-title:2021 The 5th International Conference on Advances in Artificial Intelligence (ICAAI)
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Author:

Sano Takashi¹,Ichisugi Yuuji²

Affiliation:

1. Department of Information Networking for Innovation and Design (INIAD), Toyo University, Japan

2. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3505711.3505721

Reference19 articles.

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2. A hierarchical bayesian model of invariant pattern recognition in the visual cortex

3. A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation

4. Geng Ji Dehua Cheng Huazhong Ning Changhe Yuan Hanning Zhou Liang Xiong and Erik B. Sudderth. 2020. Variational training for large-scale noisy-OR Bayesian networks. In Uncertainty in Artificial Intelligence. Geng Ji Dehua Cheng Huazhong Ning Changhe Yuan Hanning Zhou Liang Xiong and Erik B. Sudderth. 2020. Variational training for large-scale noisy-OR Bayesian networks. In Uncertainty in Artificial Intelligence.

5. Diederik P. Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization . In The 3rd International Conference for Learning Representations (ICLR). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In The 3rd International Conference for Learning Representations (ICLR).