書目名稱 | Reasoning Web. Causality, Explanations and Declarative Knowledge | 副標(biāo)題 | 18th International S | 編輯 | Leopoldo Bertossi,Guohui Xiao | 視頻video | http://file.papertrans.cn/823/822475/822475.mp4 | 概述 | Useful for students, researchers, and practitioners.Lecturers are known experts in this field.Declarative Artificial Intelligence | 叢書名稱 | Lecture Notes in Computer Science | 圖書封面 |  | 描述 | The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.. The broad theme of this year‘s summer school was .“Reasoning in Probabilistic Models and Machine Learning” .and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications.. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel | 出版日期 | Textbook 2023 | 關(guān)鍵詞 | Computer Science; Informatics; Conference Proceedings; Research; Applications | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-31414-8 | isbn_softcover | 978-3-031-31413-1 | isbn_ebook | 978-3-031-31414-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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書目名稱Reasoning Web. Causality, Explanations and Declarative Knowledge被引頻次 
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