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Titlebook: Social, Cultural, and Behavioral Modeling; 12th International C Robert Thomson,Halil Bisgin,Ayaz Hyder Conference proceedings 2019 Springer

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發(fā)表于 2025-3-21 18:42:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Social, Cultural, and Behavioral Modeling
副標題12th International C
編輯Robert Thomson,Halil Bisgin,Ayaz Hyder
視頻videohttp://file.papertrans.cn/871/870078/870078.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Social, Cultural, and Behavioral Modeling; 12th International C Robert Thomson,Halil Bisgin,Ayaz Hyder Conference proceedings 2019 Springer
描述.This book constitutes the proceedings of the 12th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2019, held in Washington, DC, USA, in July 2019. ..The total of 28 papers presented in this volume was carefully reviewed and selected from 72 submissions. ?The papers in this volume show, people, theories, methods and data from a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.??.
出版日期Conference proceedings 2019
關鍵詞agent-based models; cybersecurity; decision Analysis; graph algorithms; health Modeling; intelligent agen
版次1
doihttps://doi.org/10.1007/978-3-030-21741-9
isbn_softcover978-3-030-21740-2
isbn_ebook978-3-030-21741-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Pro/Con: Neural Detection of Stance in Argumentative Opinions,ever, utilizing the pretrained language model fine-tuned on context information yields a general model that beats the competitive baselines. We also provide analysis to find the informative segments of an argument to our stance detection model and investigate the relationship between the sentiment of an argument with its stance.
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Condorcet Optimal Clustering with Delaunay Triangulation: Climate Zones and World Happiness Insightts focus to local structure, which allows for non-convex clusterings. We demonstrate its use in comparison to other well-known heuristic methods using several constructed datasets, then use it to cluster real-world datasets.
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