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Machine learning and knowledge disco...
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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 VI /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning and knowledge discovery in databases/ edited by Massih-Reza Amini ... [et al.].
Reminder of title:
European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.
remainder title:
ECML PKDD 2022
other author:
Amini, Massih-Reza.
corporate name:
ECML PKDD (Conference)
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
xlvii, 669 p. :ill., digital ;24 cm.
[NT 15003449]:
Time series -- Financial machine learning -- Applications -- Applications: transportation -- Demo track.
Contained By:
Springer Nature eBook
Subject:
Machine learning - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-26422-1
ISBN:
9783031264221
Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.. Part VI /
Machine learning and knowledge discovery in databases
European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings.Part VI /[electronic resource] :ECML PKDD 2022edited by Massih-Reza Amini ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xlvii, 669 p. :ill., digital ;24 cm. - Lecture notes in computer science,137181611-3349 ;. - Lecture notes in computer science ;13718..
Time series -- Financial machine learning -- Applications -- Applications: transportation -- Demo track.
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: 9783031264221
Standard No.: 10.1007/978-3-031-26422-1doiSubjects--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 VI /
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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.
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based on 0 review(s)
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Opac note
Attachments
W9453319
電子資源
11.線上閱覽_V
電子書
EB Q325.5
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