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Proceedings of 17th International Co...

International Conference on Machine Learning and Computing (2025 :)

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of 17th International Conference on Machine Learning and Computing/ edited by Lin Huang, David Greenhalgh.
Reminder of title:	ICMLC2025.
remainder title:	ICMLC 2025
other author:	Huang, Lin.
corporate name:	International Conference on Machine Learning and Computing
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xix, 843 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	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 ;1475..

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:

576368
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 /
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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.
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