Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework
Author:
Affiliation:
1. S3D, Carnegie Mellon University, Pittsburgh, USA and IST, Universidade de Lisboa, Lisbon, Portugal
2. S3D, Carnegie Mellon University, Pittsburgh, USA
3. INESC-ID, IST, Universidade de Lisboa, Lisboa, Portugal
Abstract
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/3648682
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3. ARMS: Automated rules management system for fraud detection;Aparício David;arXiv preprint arXiv:2002.06075,2020
4. Christopher Bishop and Nasser Nasrabadi. 2006. Pattern Recognition and Machine Learning. Vol. 4. Springer.
5. Tomáš Bureš. 2021. Self-adaptation 2.0. In 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS’21). IEEE 262–263.
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