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Learning and Intelligent Optimization : 13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers / edited by Nikolaos F. Matsatsinis, Yannis Marinakis, Panos Pardalos
(Theoretical Computer Science and General Issues. ISSN:25122029 ; 11968)

1st ed. 2020.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2020
本文言語 英語
大きさ XIII, 400 p. 98 illus., 49 illus. in color : online resource
著者標目 Matsatsinis, Nikolaos F editor
Marinakis, Yannis editor
Pardalos, Panos editor
SpringerLink (Online service)
件 名 LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Algorithms
LCSH:Computer networks 
LCSH:Computer systems
LCSH:Application software
LCSH:Data structures (Computer science)
LCSH:Information theory
FREE:Computational Mathematics and Numerical Analysis
FREE:Algorithms
FREE:Computer Communication Networks
FREE:Computer System Implementation
FREE:Computer and Information Systems Applications
FREE:Data Structures and Information Theory
一般注記 Machine learning -- Artificial Intelligence -- Machine learning approaches -- Bio-inspired optimization -- Optimization with randomized search heuristics -- Evolutionary algorithms -- Continuous optimization -- Mathematical optimization -- Routing and network design problems -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Planning and scheduling -- Distributed artificial intelligence -- Multi-agent systems -- Intelligent agents
This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning
HTTP:URL=https://doi.org/10.1007/978-3-030-38629-0
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電子ブック オンライン 電子ブック

Springer eBooks 9783030386290
電子リソース
EB00226555

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データ種別 電子ブック
分 類 LCC:QA71-90
DC23:518
書誌ID 4000134676
ISBN 9783030386290

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