Soft Sensor Development Based on Large-Scale Pseudo Labeling Optimization
Author:
Affiliation:
1. Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Department of Automation,Kunming,China,650500
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606931.pdf?arnumber=10606931
Reference17 articles.
1. Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data
2. Multi-mode industrial soft sensor method based on mixture Laplace variational auto-encoder
3. Ensemble methods and semi-supervised learning for information fusion: A review and future research directions
4. Evolutionary optimization based pseudo labeling for semi-supervised soft sensor development of industrial processes
5. Pseudo label estimation based on label distribution optimization for industrial semi-supervised soft sensor
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