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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Xehetasun bibliografikoak

Egile Nagusiak:	Pillonetto, Gianluigi (Egilea), Chen, Tianshi (Egilea), Chiuso, Alessandro (Egilea), De Nicolao, Giuseppe (Egilea), Ljung, Lennart (Egilea)
Formatua:	Baliabide elektronikoa Liburua
Hizkuntza:	ingelesa
Argitaratua:	Cham, Switzerland: Springer, 2022.
Saila:	Communications and Control Engineering (CCE).
Gaiak:	Sistemas dinámicos > Sistemas lineales y no lineales Probabilidad y estadística > Regresión lineal Teoría de sistemas > Aprendizaje automático
Sarrera elektronikoa:	Disponible Online.
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!