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Titlebook: Learning and Intelligent Optimization; 15th International C Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsi Conference proceedings 2021

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发表于 2025-3-21 18:18:44 | 显示全部楼层 |阅读模式
书目名称Learning and Intelligent Optimization
副标题15th International C
编辑Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsi
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Learning and Intelligent Optimization; 15th International C Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsi Conference proceedings 2021
描述.This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. ..The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components..
出版日期Conference proceedings 2021
关键词artificial intelligence; combinatorial optimization; communication systems; computer hardware; computer
版次1
doihttps://doi.org/10.1007/978-3-030-92121-7
isbn_softcover978-3-030-92120-0
isbn_ebook978-3-030-92121-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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,Modeling of Crisis Periods in Stock Markets,rmation that the previous framework requires. We train our model by historical data on the industry assets, and we are able to detect all past shock events in the cryptocurrency market. Our tools provide the essential components of our software framework that offers fast and reliable detection, or e
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,Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization, to the CMA-ES invariance with respect to monotonous transformations, is most often achieved using rational quadratic, squared exponential and Matérn . kernels. It also reveals that these three covariance functions are always equivalent, in the sense that the differences between their errors are nev
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Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsi
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Rhys Agombar,Christian Bauckhage,Max Luebbering,Rafet Sifaolutions for Mobile Applications - Identity & Access Management - Trustworthy Infrastructures - Separation & Isolation - EU Digital Agenda - Cyber Security - Hackers & Threat978-3-658-00332-6978-3-658-00333-3
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