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Machine learning and knowledge disco...

ECML PKDD (Conference) ((2023 :)

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

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 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:	ECML PKDD (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	lv, 761 p. :ill. (some col.), digital ;24 cm.
內容註:	Active Learning -- Adversarial Machine Learning -- Anomaly Detection -- Applications -- Bayesian Methods -- Causality -- Clustering.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-43412-9
ISBN:	9783031434129

Machine learning and knowledge discovery in databases = research track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.. Part I /
Machine learning and knowledge discovery in databasesresearch track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part I /[electronic resource] :ECML PKDD 2023edited by Danai Koutra ... [et al.]. - Cham :Springer Nature Switzerland :2023. - lv, 761 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141690302-9743 ;. - Lecture notes in computer science ;14169..

Active Learning -- Adversarial Machine Learning -- Anomaly Detection -- Applications -- Bayesian Methods -- Causality -- Clustering.

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: 9783031434129

Standard No.: 10.1007/978-3-031-43412-9doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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