Regularized System Identification: Learning Dynamic Models from Data - Giuseppe de Nicolao,Alessandro Chiuso,Tianshi Chen,Gianluigi Pillonetto,Lennart Ljung
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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 learning without losing sight of the system-theoretical principles of black-box identification. The authors¿ reform ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-25% koodilla BOOKS
Loppu
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-25% koodilla BOOKS
Loppu
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Thinking in Systems: International Bestseller
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empty Vessel: The Story of the Global Economy in One Barge
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
101 Things I Learned in Architecture School
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Only Dull People Are Brilliant at Breakfast
-24% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
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 learning without losing sight of the system-theoretical principles of black-box identification. The authors¿ reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods. The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science. This is an open access book.
Lisätietoja
| Kirjoittaja | Giuseppe de Nicolao, Alessandro Chiuso, Tianshi Chen, Gianluigi Pillonetto, Lennart Ljung |
|---|---|
| Julkaisija | Springer International Publishing |
| Series | Communications and Control Engineering |
| Julkaisuvuosi | 2022 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783030958596 |