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Machine learning and knowledge discovery in databasesresearch track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part IV /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databasesedited by Danai Koutra ... [et al.].
其他題名:	research track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.
其他題名:	ECML PKDD 2023
其他作者:	Koutra, Danai.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	lv, 747 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-43421-1
ISBN:	9783031434211$q(electronic bk.)

Machine learning and knowledge discovery in databasesresearch track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part IV /
Machine learning and knowledge discovery in databasesresearch track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part IV /[electronic resource] :ECML PKDD 2023edited by Danai Koutra ... [et al.]. - Cham :Springer Nature Switzerland :2023. - lv, 747 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141720302-9743 ;. - Lecture notes in computer science ;4891..

Natural Language Processing -- Neuro/Symbolic Learning -- Optimization -- Recommender Systems -- Reinforcement Learning -- Representation Learning.

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment -- Transportation & Urban Planning -- Demo.

ISBN: 9783031434211$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43421-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databasesresearch track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part IV /
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