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Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond (Record no. 62190)

MARC details
000 -LEADER
fixed length control field 04569nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-67159-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112707.0
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 240802s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031671593
-- 978-3-031-67159-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-67159-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
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 Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond
Medium [electronic resource] :
Remainder of title Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10–12, 2024 /
Statement of responsibility, etc. edited by Thomas Villmann, Marika Kaden, Tina Geweniger, Frank-Michael Schleif.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 228 p. 72 illus., 66 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 PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Networks and Systems,
International Standard Serial Number 2367-3389 ;
Volume/sequential designation 1087
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Unsupervised Learning-based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time -- Hyperbox GLVQ Based on Min Max Neurons -- Sparse clustering with K means which penalties and for which data -- Is t SNE Becoming the New Self organizing Map Similarities and Differences -- Pursuing the Perfect Projection A Projection Pursuit Framework for Deep Learning -- Generalizing self organizing maps large scale training of GMMs and applications in data science -- A Self Organizing UMAP For Clustering -- Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation -- Exploring data distributions in Machine Learning models with SOMs -- Interpretable Machine Learning in Endocrinology a Diagnostic Tool in Primary Aldosteronism -- The Beauty of Prototype Based Learning.
520 ## - SUMMARY, ETC.
Summary, etc. The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10–12, 2024. The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced machine learning tasks in a wide variety of applications ranging from biomedicine, space science, engineering to economics and social sciences, for example. The flexibility and simplicity of those approaches also allow the integration of modern aspects such as deep architectures, probabilistic methods and reasoning as well as relevance learning. The book reflects both new theoretical aspects in this research area and interesting application cases. Thus, this book is recommended for researchers and practitioners in data analytics and machine learning, especially those who are interested in the latest developments in interpretable and robust unsupervised learning, data visualization, classification and self-organization.
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) 58441
650 14 - 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) 58441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Villmann, Thomas.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81816
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kaden, Marika.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81817
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Geweniger, Tina.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81818
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schleif, Frank-Michael.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81819
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 9783031671586
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031671609
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Networks and Systems,
International Standard Serial Number 2367-3389 ;
Volume number/sequential designation 1087
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-67159-3">https://doi.org/10.1007/978-3-031-67159-3</a>
912 ## -
-- ZDB-2-INR
912 ## -
-- ZDB-2-SXIT

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