A Rayleigh-Ritz Autoencoder
Author:
Affiliation:
1. University of Leoben,Chair of Automation,Austria
2. Materials Center Leoben,Leoben,Austria
3. Know-Center GmbH,Graz,Austria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175865/10175876/10176014.pdf?arnumber=10176014
Reference41 articles.
1. Applied AI in instrumentation and measurement: The deep learning revolution
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4. On the weighting method for least squares problems with linear equality constraints
5. Machine Learning in Measurement Part 2: Uncertainty Quantification
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1. Extended Rayleigh-Ritz Autoencoder with Distribution-Free Statistics;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
2. Automatic Synthesis of Admissible Functions for Variational Learning;2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA);2023-06-12
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