Lecture Notes in Artificial Intelligence
cover

Machine Learning and Knowledge Discovery in Databases. Research Track

European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I

Editors: Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J., Lozano, J.A. (Eds.)

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eBook 82,38 €
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  • ISBN 978-3-030-86486-6
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Softcover 101,91 €
price for Spain (gross)
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  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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About this book

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Table of contents (48 chapters)

Table of contents (48 chapters)
  • Routine Bandits: Minimizing Regret on Recurring Problems

    Pages 3-18

    Saber, Hassan (et al.)

  • Conservative Online Convex Optimization

    Pages 19-34

    Bernasconi de Luca, Martino (et al.)

  • Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits

    Pages 35-50

    Roy, Kaushik (et al.)

  • Exploiting History Data for Nonstationary Multi-armed Bandit

    Pages 51-66

    Re, Gerlando (et al.)

  • High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection

    Pages 67-83

    Liao, Shizhong (et al.)

Buy this book

eBook 82,38 €
price for Spain (gross)
  • ISBN 978-3-030-86486-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 101,91 €
price for Spain (gross)
  • ISBN 978-3-030-86485-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Knowledge Discovery in Databases. Research Track
Book Subtitle
European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I
Editors
  • Nuria Oliver
  • Fernando Pérez-Cruz
  • Stefan Kramer
  • Jesse Read
  • Jose A. Lozano
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
12975
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-86486-6
DOI
10.1007/978-3-030-86486-6
Softcover ISBN
978-3-030-86485-9
Edition Number
1
Number of Pages
XLI, 806
Number of Illustrations
14 b/w illustrations, 218 illustrations in colour
Topics