東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advances in self-organizing maps, le...

Workshop on Self-Organizing Maps (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond = proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond/ edited by Thomas Villmann ... [et al.].
Reminder of title:	proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 /
remainder title:	WSOM+ 2024
other author:	Villmann, Thomas.
corporate name:	Workshop on Self-Organizing Maps
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiii, 228 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-67159-3
ISBN:	9783031671593

Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond = proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 /
Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyondproceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 /[electronic resource] :WSOM+ 2024edited by Thomas Villmann ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xiii, 228 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,10872367-3389 ;. - Lecture notes in networks and systems ;1087..

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.

ISBN: 9783031671593

Standard No.: 10.1007/978-3-031-67159-3doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond = proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 /
LDR:02087nmm a2200337 a 4500 001 2374332
003 DE-He213
005 20240802130253.0
006 m d
007 cr nn 008maaau
008 241231s2024 sz s 0 eng d
020 $a 9783031671593 $q (electronic bk.)
020 $a 9783031671586 $q (paper)
024 7 $a 10.1007/978-3-031-67159-3 $2 doi
035 $a 978-3-031-67159-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .W926 2024
111 2 $a Workshop on Self-Organizing Maps $n (15th : $d 2024 : $c Mittweida, Germany) $3 3723116
245 1 0 $a Advances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond $h [electronic resource] : $b proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 / $c edited by Thomas Villmann ... [et al.].
246 3 $a WSOM+ 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiii, 228 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1087
505 0 $a 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.
650 0 $a Neural networks (Computer science) $x Congresses. $3 582186
650 0 $a Self-organizing maps $v Congresses. $3 3442926
650 0 $a Self-organizing systems $x Congresses. $3 587783
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Villmann, Thomas. $3 2071859
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v 1087. $3 3723117
856 4 0 $u https://doi.org/10.1007/978-3-031-67159-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)