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Regularized System Identification Learning Dynamic Models from Data /

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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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Главные авторы:	Pillonetto, Gianluigi (Автор), Chen, Tianshi (Автор), Chiuso, Alessandro (Автор), De Nicolao, Giuseppe (Автор), Ljung, Lennart (Автор)
Соавтор:	SpringerLink (Online service)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Редактирование:	1st ed. 2022.
Серии:	Communications and Control Engineering,
Предметы:	Machine learning. Control engineering. System theory. Statistics . Control theory. Machine Learning. Control and Systems Theory. Complex Systems. Bayesian Inference. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Systems Theory, Control.
Online-ссылка:	Link to Metadata
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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