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...
Furkejuvvon:
Váldodahkki: | Pillonetto, Gianluigi (auth) |
---|---|
Eará dahkkit: | Chen, Tianshi (auth), Chiuso, Alessandro (auth), De Nicolao, Giuseppe (auth), Ljung, Lennart (auth) |
Materiálatiipa: | Elektrovnnalaš Girjji oassi |
Giella: | eaŋgalasgiella |
Almmustuhtton: |
Cham
Springer Nature
2022
|
Ráidu: | Communications and Control Engineering
|
Fáttát: | |
Liŋkkat: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Fáddágilkorat: |
Lasit fáddágilkoriid
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|
Geahča maid
-
Regularized System Identification Learning Dynamic Models from Data
Dahkki: Pillonetto, Gianluigi
Almmustuhtton: (2022) -
Regularized System Identification Learning Dynamic Models from Data /
Dahkki: Pillonetto, Gianluigi, et al.
Almmustuhtton: (2022) -
Efficient Reinforcement Learning using Gaussian Processes
Dahkki: Deisenroth, Marc Peter
Almmustuhtton: (2010) -
Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation
Dahkki: Krauthausen, Peter
Almmustuhtton: (2013) -
Bayesian Methods for Statistical Analysis
Dahkki: Puza, Borek
Almmustuhtton: (2015)