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Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 15th Pacific Rim Kno Kenichi Yoshida,Maria Lee Conference proceedings 2018 Sp

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發(fā)表于 2025-3-21 16:22:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Knowledge Management and Acquisition for Intelligent Systems
副標(biāo)題15th Pacific Rim Kno
編輯Kenichi Yoshida,Maria Lee
視頻videohttp://file.papertrans.cn/544/543967/543967.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 15th Pacific Rim Kno Kenichi Yoshida,Maria Lee Conference proceedings 2018 Sp
描述.This book constitutes the proceedings of the 15th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2018, held in Nanjing, China, in August 2018.. The 15 full papers and 7 short papers included in this volume were carefully reviewed and selected from 51 initial submissions. They cover the methods and tools as well as the applications related to developing a knowledge base, healthcare, financial systems, and intelligent systems..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; data mining; image processing; image segmentation; information retrieval; intell
版次1
doihttps://doi.org/10.1007/978-3-319-97289-3
isbn_softcover978-3-319-97288-6
isbn_ebook978-3-319-97289-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Knowledge Management and Acquisition for Intelligent Systems978-3-319-97289-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-319-97289-3artificial intelligence; data mining; image processing; image segmentation; information retrieval; intell
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Conference proceedings 2018held in Nanjing, China, in August 2018.. The 15 full papers and 7 short papers included in this volume were carefully reviewed and selected from 51 initial submissions. They cover the methods and tools as well as the applications related to developing a knowledge base, healthcare, financial systems, and intelligent systems..
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actual trajectory and its estimate from linear regression. In this particular example, the estimated trajectory is piecewise linear because the linear regression has been carried out using an exponential covariance function 2 1. Introduction What is really questionable in this procedure is not the
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Dionne Tiffany Ong,Christine Rachel De Jesus,Luisa Katherine Gilig,Junlyn Bryan Alburo,Ethel Ong actual trajectory and its estimate from linear regression. In this particular example, the estimated trajectory is piecewise linear because the linear regression has been carried out using an exponential covariance function 2 1. Introduction What is really questionable in this procedure is not the
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Deborah Richards,Ayse Aysin Bilgin,Hedieh Ranjbartabar,Anupam Makhijae fields with different statistical properties. These different properties will result in different distributions for system response, and potentially, different managerial decisions. The statistical properties of the resulting system response distributions are not completely understood, nor is the
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