Kapak Resmi

Regularized System Identification Learning Dynamic Models from Data

Diğer sürümleri göster (2)

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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yazar: Pillonetto, Gianluigi (auth)
Diğer Yazarlar: Chen, Tianshi (auth), Chiuso, Alessandro (auth), De Nicolao, Giuseppe (auth), Ljung, Lennart (auth)
Materyal Türü: Elektronik Kitap Bölümü
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham Springer Nature 2022
Seri Bilgileri:Communications and Control Engineering
Konular:
Machine learning
Automatic control engineering
Statistical physics
Bayesian inference
Probability & statistics
Cybernetics & systems theory
System Identification
Machine Learning
Linear Dynamical Systems
Nonlinear Dynamical Systems
Kernel-based Regularization
Bayesian Interpretation of Regularization
Gaussian Processes
Reproducing Kernel Hilbert Spaces
Estimation Theory
Support Vector Machines
Regularization Networks
Online Erişim:DOAB: download the publication
DOAB: description of the publication
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

DOAB: download the publication
DOAB: description of the publication

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
Kopya Bilgisi 1 Kütüphanede

Benzer Materyaller