Accelerated Learning of Predictive Runtime Monitors for Rare Failure-Reference-Cited by-同舟云学术

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Accelerated Learning of Predictive Runtime Monitors for Rare Failure

Published:2019 Issue: Volume: Page:111-128
ISSN:0302-9743
Container-title:Runtime Verification
language:
Short-container-title:

Author:

Babaee Reza,Ganesh Vijay,Sedwards Sean

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32079-9_7

Reference35 articles.

1. Angluin, D.: Identifying languages from stochastic examples. Technical report YALEU/ DCS/RR-614, Yale University, Department of Computer Science, New Haven, CT (1988)

2. Lecture Notes in Computer Science;R Babaee,2018

3. Lecture Notes in Computer Science;R Babaee,2018

4. Lecture Notes in Computer Science;B Barbot,2012

5. Lecture Notes in Computer Science;A Bauer,2007

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2. Conformal Prediction for STL Runtime Verification;Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023);2023-05-09

3. Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees;Runtime Verification;2023

4. Conservative Safety Monitors of Stochastic Dynamical Systems;Lecture Notes in Computer Science;2023

5. Model Predictive Runtime Verification for Cyber-Physical Systems with Real-Time Deadlines;Lecture Notes in Computer Science;2023

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