Supporting viewpoints to review the lack of requirements in space systems with machine learning-Reference-Cited by-同舟云学术

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Supporting viewpoints to review the lack of requirements in space systems with machine learning

Published:2020-06-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Author:

Mori Kenji¹,Okubo Naoko¹,Ueda Yasushi¹,Katahira Masafumi¹,Amagasa Toshiyuki²

Affiliation:

1. Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, Japan

2. University of Tsukuba, Tsukuba, Ibaraki, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3387939.3391610

Reference20 articles.

1. Latent dirichlet allocation;Blei David M.;Journal of machine Learning research 3,2003

2. Intrinsic Evaluations of Word Embeddings: What Can We Do Better?

3. Modular Design and Verification of Distributed Adaptive Real-Time Systems

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1. Verification & Validation Methods for Complex AI-enabled Cyber-Physical Learning-Based Systems: A Systematic Literature Review;2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC);2023-06-19

2. Reducing large adaptation spaces in self-adaptive systems using classical machine learning;Journal of Systems and Software;2022-08

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