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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
BuchKartoniert, Paperback
729 Seiten
Englisch
Springererschienen am17.03.20231st ed. 2023
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR90,94
BuchKartoniert, Paperback
EUR90,94
BuchKartoniert, Paperback
EUR90,94
BuchKartoniert, Paperback
EUR139,09
BuchKartoniert, Paperback
EUR96,29
BuchKartoniert, Paperback
EUR96,29
E-BookPDF1 - PDF WatermarkE-Book
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Produkt

KlappentextThe 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.
Details
ISBN/GTIN978-3-031-26386-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum17.03.2023
Auflage1st ed. 2023
Seiten729 Seiten
SpracheEnglisch
IllustrationenXLVI, 729 p. 230 illus., 216 illus. in color.
Artikel-Nr.51910823

Inhalt/Kritik

Inhaltsverzeichnis
Clustering and dimensionality reduction.- anomaly detection.- interpretability and explainability.- ranking and recommender systems.- transfer and multitask learning.mehr

Schlagworte

Autor