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Machine learning and knowledge disco...

ECML PKDD (Conference) ((2022 :)

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Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.. Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databases/ edited by Massih-Reza Amini ... [et al.].
其他題名:	European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.
其他題名:	ECML PKDD 2022
其他作者:	Amini, Massih-Reza.
團體作者:	ECML PKDD (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xlvi, 683 p. :ill., digital ;24 cm.
內容註:	Deep learning -- robust and adversarial machine learning -- generative models -- computer vision -- meta-learning, neural architecture search.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-26409-2
ISBN:	9783031264092

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.. Part III /
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.Part III /[electronic resource] :ECML PKDD 2022edited by Massih-Reza Amini ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xlvi, 683 p. :ill., digital ;24 cm. - Lecture notes in computer science,137151611-3349 ;. - Lecture notes in computer science ;13715..

Deep learning -- robust and adversarial machine learning -- generative models -- computer vision -- meta-learning, neural architecture search.

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.

ISBN: 9783031264092

Standard No.: 10.1007/978-3-031-26409-2doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.. Part III /
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