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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V / edited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 13717)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer Nature Switzerland : Imprint: Springer)
出版年	2023
大きさ	XLVI, 633 p. 163 illus., 140 illus. in color : online resource
著者標目	Amini, Massih-Reza editor Canu, Stéphane editor Fischer, Asja editor Guns, Tias editor Kralj Novak, Petra editor Tsoumakas, Grigorios editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002495	Computer Scinece R0 2005-6,2022-3				9783031264191

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一般注記	Supervised learning -- Probabilistic inference -- Optimal transport -- Optimization -- Quantum, hardware -- Sustainability 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 inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track HTTP:URL=https://doi.org/10.1007/978-3-031-26419-1
件　名	LCSH:Artificial intelligence LCSH:Computer science—Mathematics LCSH:Computers LCSH:Computer engineering LCSH:Computer networks LCSH:Application software LCSH:Image processing—Digital techniques LCSH:Computer vision FREE:Artificial Intelligence FREE:Mathematics of Computing FREE:Computing Milieux FREE:Computer Engineering and Networks FREE:Computer and Information Systems Applications FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00001883
ISBN	9783031264191