Simulating Dynamical Systems from Data
The ever-increasing availability of data from dynamical systems offers an opportunity for automated data-driven decision-making in various domains. However, a significant barrier to realizing this potential is the issues inherent to these datasets: high-dimensionality, noise, sparsity, and confoundi...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153861 |