Handbook of Evolutionary Machine Learning (Record no. 56488)
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|---|---|
| fixed length control field | 05014nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-99-3814-8 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030110828.0 |
| 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 | 231101s2024 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789819938148 |
| -- | 978-981-99-3814-8 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-981-99-3814-8 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 245 10 - TITLE STATEMENT | |
| Title | Handbook of Evolutionary Machine Learning |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | edited by Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Singapore : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVI, 768 p. 202 illus., 148 illus. in color. |
| Other physical details | 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 | Genetic and Evolutionary Computation, |
| International Standard Serial Number | 1932-0175 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part 1. Overview chapters -- Chapter 1. EML Fundamentals -- Chapter 2. EML in Supervised Learning -- Chapter 3. EML in Unsupervised Learning -- Chapter 4. EML in Reinforcement Learning -- Part 2. Evolutionary Computation as Machine Learning -- Chapter 5. Evolutionary Clustering -- Chapter 6. Evolutionary Classification and Regression -- Chapter 7. Evolutionary Ensemble Learning -- Chapter 8. Evolutionary Deep Learning -- Chapter 9. Evolutionary Generative Models -- Part 3. Evolutionary Computation for Machine Learning -- Chapter 10. Evolutionary Data Preparation -- Chapter 11. Evolutionary Feature Engineering and Selection -- Chapter 12. Evolutionary Model Parametrization -- Chapter 13. Evolutionary Model Design -- Chapter 14. Evolutionary Model Validation -- Part 4. Applications -- Chapter 15. EML in Medicine -- Chapter 16. EML in Robotics -- Chapter 17. EML in Finance -- Chapter 18. EML in Science -- Chapter 19. EML in Environmental Science -- Chapter 20. EML in the Arts. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 55059 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 64052 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 64762 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 55059 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 64052 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66166 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Banzhaf, Wolfgang. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-6382-3245 |
| -- | https://orcid.org/0000-0002-6382-3245 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 66947 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Machado, Penousal. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-6308-6484 |
| -- | https://orcid.org/0000-0002-6308-6484 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 66948 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Mengjie. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 66949 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819938131 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819938155 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819938162 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Genetic and Evolutionary Computation, |
| International Standard Serial Number | 1932-0175 |
| 9 (RLIN) | 66950 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-981-99-3814-8">https://doi.org/10.1007/978-981-99-3814-8</a> |
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| -- | ZDB-2-SCS |
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