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Titlebook: Computer and Information Sciences; 31st International S Tadeusz Czachórski,Erol Gelenbe,Ricardo Lent Conference proceedings‘‘‘‘‘‘‘‘ 2016 Th

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發(fā)表于 2025-3-21 16:06:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer and Information Sciences
副標(biāo)題31st International S
編輯Tadeusz Czachórski,Erol Gelenbe,Ricardo Lent
視頻videohttp://file.papertrans.cn/235/234371/234371.mp4
概述Includes supplementary material:
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Computer and Information Sciences; 31st International S Tadeusz Czachórski,Erol Gelenbe,Ricardo Lent Conference proceedings‘‘‘‘‘‘‘‘ 2016 Th
描述.This book constitutes the refereed proceedings of the 31st?International Symposium on Computer and Information Sciences, ISCIS 2016, held in Krakow, Poland, in October 2016...The?29 revised full papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on?smart algorithms;?data classification and processing;?stochastic modelling;?performance evaluation; queuing systems; wireless networks and security;?image processing and computer vision..
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2016
關(guān)鍵詞algorithms; artificial intelligence; computer networks; computer science; evolutionary algorithms; geneti
版次1
doihttps://doi.org/10.1007/978-3-319-47217-1
isbn_softcover978-3-319-47216-4
isbn_ebook978-3-319-47217-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s) 2016
The information of publication is updating

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Brandon P. Brown,Jason T. Eberl Ph.D, it is often a time-consuming task and needs to be performed under a restricted computational budget. In this study, the results from our previous work on using the Taguchi method to tune the parameters of a memetic algorithm for cross-domain search are further analysed and extended. Although the T
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Brandon P. Brown,Jason T. Eberl Ph.Dnce is a crucial component of selection hyper-heuristics, deciding whether to accept or reject a new solution at each step during the search process. This study investigates group decision making strategies as ensemble methods exploiting the strengths of multiple move acceptance methods for improved
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The Ethics of Information Warfareand evaluation based on specially created test datasets. Sometimes preparation of test sets can be troublesome. Another problem appears when discretization of input sets is taken into account. It is not obvious how to discretize test datasets. Therefore model evaluation method not requiring test set
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Luciano Floridi,Mariarosaria Taddeolity issues mainly due to the evaluation of large search spaces. Evaluation of the search space cosists translating candidate concept descriptor into SQL queries, which involve a number of equijoins on several tables, and running them against the dataset. We aim to improve time efficiency of such sy
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