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: CoRR (2023)
Keyphrases
- dynamical systems
- machine learning
- data assimilation
- kalman filter
- anomaly detection
- learning algorithm
- nonlinear dynamical systems
- simulation models
- pattern recognition
- phase space
- state space
- remote sensing
- data mining
- agent environment
- computational intelligence
- machine learning algorithms
- smart environments
- supervised learning
- reinforcement learning
- computer vision
- predictive state representations
- unsupervised learning
- text classification
- data analysis
- three dimensional
- image processing
- real time