Handbook of Evolutionary Machine Learning (Registro nro. 273566)

MARC details
000 -LIDER
fixed length control field 05007nam a22006135i 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 20250516155928.0
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
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
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
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 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 768 p. 202 illus., 148 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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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.
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Owner UABC ;
Method of acquisition Perpetuidad
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Evolution (Biology).
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Machine Learning.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Evolutionary Biology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Banzhaf, Wolfgang.
Relator term editor.
-- (orcid)0000-0002-6382-3245
-- https://orcid.org/0000-0002-6382-3245
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Machado, Penousal.
Relator term editor.
-- (orcid)0000-0002-6308-6484
-- https://orcid.org/0000-0002-6308-6484
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Mengjie.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
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,
-- 1932-0175
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Libro electrónico
Uniform Resource Identifier http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-3814-8
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912 ## -
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Date last seen Número de copia Tipo de material
  Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica 16/05/2025   16/05/2025 1 Libro Electrónico

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