國立虎尾科技大學 |

Proceedings of 17th International Conference on Machine Learning and Computing = ICMLC2025.. Volume 1 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Proceedings of 17th International Conference on Machine Learning and Computing/ edited by Lin Huang, David Greenhalgh.
其他題名:	ICMLC2025.
其他題名:	ICMLC 2025
其他作者:	Huang, Lin.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xix, 843 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-94892-3
ISBN:	9783031948923

Proceedings of 17th International Conference on Machine Learning and Computing = ICMLC2025.. Volume 1 /
Proceedings of 17th International Conference on Machine Learning and ComputingICMLC2025.Volume 1 /[electronic resource] :ICMLC 2025edited by Lin Huang, David Greenhalgh. - Cham :Springer Nature Switzerland :2025. - xix, 843 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,14752367-3389 ;. - Lecture notes in networks and systems ;v.1..

Machine Learning Theory and Algorithms -- High-performance Computing Models and Data Processing -- Large-scale Language Models and Natural Language Processing -- Data-oriented Information Oystem Optimization and Intelligent Computing -- Software and Interactive System Design -- Complex System Design and Functional Integrity Verification -- AI-based Intelligent Control Systems and System Security.

This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.

ISBN: 9783031948923

Standard No.: 10.1007/978-3-031-94892-3doiSubjects--Topical Terms:

574552
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Proceedings of 17th International Conference on Machine Learning and Computing = ICMLC2025.. Volume 1 /
LDR:02472nam a2200349 a 4500 001 1166459
003 DE-He213
005 20250817130206.0
006 m d
007 cr nn 008maaau
008 251217s2025 sz s 0 eng d
020 $a 9783031948923 $q (electronic bk.)
020 $a 9783031948916 $q (paper)
024 7 $a 10.1007/978-3-031-94892-3 $2 doi
035 $a 978-3-031-94892-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .I61 2025
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Proceedings of 17th International Conference on Machine Learning and Computing $h [electronic resource] : $b ICMLC2025. $n Volume 1 / $c edited by Lin Huang, David Greenhalgh.
246 3 $a ICMLC 2025
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xix, 843 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1475
505 0 $a Machine Learning Theory and Algorithms -- High-performance Computing Models and Data Processing -- Large-scale Language Models and Natural Language Processing -- Data-oriented Information Oystem Optimization and Intelligent Computing -- Software and Interactive System Design -- Complex System Design and Functional Integrity Verification -- AI-based Intelligent Control Systems and System Security.
520 $a This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.
650 0 $a Machine learning $v Congresses. $3 574552 $3 727808
650 0 $a Cloud computing $v Congresses. $3 787203
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Machine Learning. $3 1137723
700 1 $a Huang, Lin. $3 1201872
700 1 $a Greenhalgh, David. $3 1495265
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 1107910
856 4 0 $u https://doi.org/10.1007/978-3-031-94892-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)