Regularized System Identification (Record no. 200457391)
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000 -LEADER | |
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fixed length control field | 04425nam a22006375i 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | TR-AnTOB |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20231124090942.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220513s2022 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783030958602 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-030-95860-2 |
Source of number or code | doi |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | TR-AnTOB |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | TR-AnTOB |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | İngilizce |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA402 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQM |
Source | bicssc |
Subject category code | COM004000 |
Source | bisacsh |
Subject category code | UYQM |
Source | thema |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA402EBK |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Pillonetto, Gianluigi. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT | |
Title | Regularized System Identification |
Medium | [electronic resource] : |
Remainder of title | Learning Dynamic Models from Data / |
Statement of responsibility, etc. | by Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2022. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cham : |
Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Communications and Control Engineering, |
International Standard Serial Number | 2197-7119 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 1. Bias -- Chapter 2. Classical System Identification -- Chapter 3. Regularization of Linear Regression Models -- Chapter 4. Bayesian Interpretation of Regularization -- Chapter 5. Regularization for Linear System Identification -- Chapter 6. Regularization in Reproducing Kernel Hilbert Spaces -- Chapter 7. Regularization in Reproducing Kernel Hilbert Spaces for Linear System Identification -- Chapter 8. Regularization for Nonlinear System Identification -- Chapter 9. Numerical Experiments and Real-World Cases. |
506 0# - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Open Access |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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. In many ways, this book is a complement and continuation of the much-used text book L. Ljung, System Identification, 978-0-13-656695-3. This is an open access book. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine learning. |
Topical term or geographic name entry element | Control engineering. |
Topical term or geographic name entry element | System theory. |
Topical term or geographic name entry element | Statistics . |
Topical term or geographic name entry element | Control theory. |
Topical term or geographic name entry element | Machine Learning. |
Topical term or geographic name entry element | Control and Systems Theory. |
Topical term or geographic name entry element | Complex Systems. |
Topical term or geographic name entry element | Bayesian Inference. |
Topical term or geographic name entry element | Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
Topical term or geographic name entry element | Systems Theory, Control . |
653 #0 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | System identification |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Chen, Tianshi. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
Personal name | Chiuso, Alessandro. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
Personal name | De Nicolao, Giuseppe. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
Personal name | Ljung, Lennart. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Communications and Control Engineering, |
International Standard Serial Number | 2197-7119 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-95860-2">https://doi.org/10.1007/978-3-030-95860-2</a> |
Materials specified | Springer eBooks |
Public note | Online access link to the resource |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | E-Book |
No items available.