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Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI Internatio Maki Sakamoto,Naoaki Okazaki,Ken Satoh Conference proceedings 2020 The Edito

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发表于 2025-3-21 19:56:28 | 显示全部楼层 |阅读模式
书目名称New Frontiers in Artificial Intelligence
副标题JSAI-isAI Internatio
编辑Maki Sakamoto,Naoaki Okazaki,Ken Satoh
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI Internatio Maki Sakamoto,Naoaki Okazaki,Ken Satoh Conference proceedings 2020 The Edito
描述This book constitutes extended, revised and selected papers from the 11th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2019. It was held in November 2019 in Yokohama, Japan..The 26 papers were carefully selected from 46 submissions and deal with topics of AI research and are organized into 4 sections, according to the 4 workshops: JURISIN 2019, AI-Biz 2019, LENLS 16, and Kansei-AI 2019..
出版日期Conference proceedings 2020
关键词artificial intelligence; computer vision; correlation analysis; databases; formal logic; image analysis; i
版次1
doihttps://doi.org/10.1007/978-3-030-58790-1
isbn_softcover978-3-030-58789-5
isbn_ebook978-3-030-58790-1Series 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 Switzerl
The information of publication is updating

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ing controversy in online discussions is a challenging task, but essential to stop these unhealthy behaviours..In this work, we develop a general pipeline to quantify controversy on social media through content analysis, and we widely test it on Twitter..Our approach can be outlined in four phases:
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Takahiro Komamizu,Kazuya Fujioka,Yasuhiro Ogawa,Katsuhiko Toyamaing controversy in online discussions is a challenging task, but essential to stop these unhealthy behaviours..In this work, we develop a general pipeline to quantify controversy on social media through content analysis, and we widely test it on Twitter..Our approach can be outlined in four phases:
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发表于 2025-3-22 07:04:43 | 显示全部楼层
Jieh-Sheng Lee,Jieh Hsianging controversy in online discussions is a challenging task, but essential to stop these unhealthy behaviours..In this work, we develop a general pipeline to quantify controversy on social media through content analysis, and we widely test it on Twitter..Our approach can be outlined in four phases:
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发表于 2025-3-22 10:54:19 | 显示全部楼层
Juliano Rabelo,Mi-Young Kim,Randy Goebel,Masaharu Yoshioka,Yoshinobu Kano,Ken Satohe compressed text in bytes, . is the size of the alphabet, and . is a user specified parameter. The method uses a variable size super-alphabet, with an average size of . symbols, where . is the entropy of the text. Each super-symbol is processed in .(1) time. The algorithm uses .(2.) space, and .(.2
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Yoshihiro Nishi,Aiko Suge,Hiroshi Takahashihe suffix array (SA) and provides an implicit representation of the topology of an underlying suffix tree. The LCP array of a string of length . can be represented as an array of length . words, or, in the presence of the SA, as a bit vector of 2. bits plus asymptotically negligible support data str
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Hirotaka Yanada,Setsuya Kurahashi to return documents in another. Many CLIR techniques attempt to translate the user’s query to the language of the target documents using translation dictionaries. However, these techniques have limitations in terms of lexical coverage of the dictionary adopted. For some applications, the dictionari
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