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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 II / edited by Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 14170)

データ種別 電子ブック
1st ed. 2023.
出版者 (Cham : Springer Nature Switzerland : Imprint: Springer)
出版年 2023
大きさ LIV, 719 p. 309 illus., 177 illus. in color : online resource
著者標目 Koutra, Danai editor
Plant, Claudia editor
Gomez Rodriguez, Manuel editor
Baralis, Elena editor
Bonchi, Francesco editor
SpringerLink (Online service)

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射水-電子 007 EB0004413 Computer Scinece R0 2005-6,2022-3

9783031434150

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一般注記 Computer Vision -- Deep Learning -- Fairness -- Federated Learning -- Few-shot learning -- Generative Models -- Graph Contrastive 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
HTTP:URL=https://doi.org/10.1007/978-3-031-43415-0
件 名 LCSH:Artificial intelligence
LCSH:Computer engineering
LCSH:Computer networks 
LCSH:Computers
LCSH:Image processing -- Digital techniques  全ての件名で検索
LCSH:Computer vision
LCSH:Software engineering
FREE:Artificial Intelligence
FREE:Computer Engineering and Networks
FREE:Computing Milieux
FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
FREE:Software Engineering
分 類 LCC:Q334-342
LCC:TA347.A78
DC23:006.3
書誌ID EB00003801
ISBN 9783031434150

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