Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
Sibo ChengCésar Quilodrán CasasSaid OualaAlban FarchiChe LiuPierre TandeoRonan FabletDidier LucorBertrand IoossJulien BrajardDunhui XiaoTijana JanjicWeiping DingYike GuoAlberto CarrassiMarc BocquetRossella ArcucciPublished in: IEEE CAA J. Autom. Sinica (2023)
Keyphrases
- dynamical systems
- machine learning
- data assimilation
- nonlinear dynamical systems
- state space
- machine learning algorithms
- phase space
- smart environments
- anomaly detection
- kalman filter
- simulation models
- motion field
- predictive state representations
- remote sensing
- pattern recognition
- agent environment
- active learning
- data analysis
- learning algorithm
- text classification
- computational intelligence
- supervised learning
- data mining
- feature selection
- optimal policy
- bit rate