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Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Massih-Reza Amini,Stéphane Canu,Grigorios Tsoumaka Conference p

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發(fā)表于 2025-3-21 17:17:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning and Knowledge Discovery in Databases
副標(biāo)題European Conference,
編輯Massih-Reza Amini,Stéphane Canu,Grigorios Tsoumaka
視頻videohttp://file.papertrans.cn/621/620493/620493.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Massih-Reza Amini,Stéphane Canu,Grigorios Tsoumaka Conference p
描述The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022..The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions...The volumes are organized in topical sections as follows:..Part I:. Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; ..Part II: .Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; ..Part III: .Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; ..Part IV:. Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; ...Part V:. Supervised learning; probabilistic inferenc
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computer hardware; computer networks; computer security; computer systems; compu
版次1
doihttps://doi.org/10.1007/978-3-031-26422-1
isbn_softcover978-3-031-26421-4
isbn_ebook978-3-031-26422-1Series 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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https://doi.org/10.1007/978-3-031-26422-1artificial intelligence; computer hardware; computer networks; computer security; computer systems; compu
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978-3-031-26421-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Machine Learning and Knowledge Discovery in Databases978-3-031-26422-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Is This Bug Severe? A?Text-Cum-Graph Based Model for?Bug Severity Predictionhe text description of a bug and the user comments about the bug help to achieve reasonably good performance. Further information on how the bugs are related to each other in terms of the ways they affect packages can be summarised in the form of a graph and used along with the text to get additional benefits.
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0302-9743 e Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022..The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions...The volumes
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