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Titlebook: PRICAI 2024: Trends in Artificial Intelligence; 21st Pacific Rim Int Rafik Hadfi,Patricia Anthony,Quan Bai Conference proceedings 2025 The

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书目名称PRICAI 2024: Trends in Artificial Intelligence
副标题21st Pacific Rim Int
编辑Rafik Hadfi,Patricia Anthony,Quan Bai
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: PRICAI 2024: Trends in Artificial Intelligence; 21st Pacific Rim Int Rafik Hadfi,Patricia Anthony,Quan Bai Conference proceedings 2025 The
描述.The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18–24, 2024...The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. ..The papers are organized in the following topical sections:..Part I: Machine Learning, Deep Learning..Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, ..Part III: Large Language Models, Computer Vision..Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization..Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.
出版日期Conference proceedings 2025
关键词Artificial Intelligence; Machine Learning; Deep Learning; Agents; Decision Theory; Large Language Models;
版次1
doihttps://doi.org/10.1007/978-981-96-0119-6
isbn_softcover978-981-96-0118-9
isbn_ebook978-981-96-0119-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Youjia Liu,Yasumasa Matsuda,Zhijie Zhangises, case studies and detailed references.Each method is co.This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular d
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