Regularized System Identification. Learning Dynamic Models from Data
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learn...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Elektronisk Bok |
| Språk: | engelska |
| Publicerad: |
Cham, Switzerland:
Springer,
2022.
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| Serie: | Communications and Control Engineering (CCE).
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| Ämnen: | |
| Länkar: | Disponible Online. |
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