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Proceedings of 17th International Conference on Machine Learning and Computing : ICMLC2025, Volume 1 / edited by Lin Huang, David Greenhalgh

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1475Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XIX, 843 p. 320 illus., 255 illus. in color.)ISBN:
  • 9783031948923
Subject(s): Additional physical formats: 9783031948916 | 9783031948930 | Erscheint auch als: 9783031948916 Druck-Ausgabe | Erscheint auch als: 9783031948930 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-94892-3Online resources: Summary: 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.Summary: 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.PPN: PPN: 1933539410Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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