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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proceedings: 12975 - Brossura
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2021
- ISBN 10 3030864855
- ISBN 13 9783030864859
- RilegaturaCopertina flessibile
- Numero edizione1
- Numero di pagine848
- RedattoreOliver Nuria, Prez-cruz Fernando, Kramer Stefan, Read Jesse, Lozano Jose A.
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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13âÂÂ"17, 2021, . I (Lecture Notes in Computer Science, 12975) [Paperback ]
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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13?17, 2021, . I (Lecture Notes in Computer Science, 12975)
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Descrizione libro Condizione: New. Codice articolo ABLIING23Mar3113020031974
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I
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Machine Learning and Knowledge Discovery in Databases. Research Track
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Springer International Publishing Sep 2021
(2021)
ISBN 10: 3030864855
ISBN 13: 9783030864859
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 848 pp. Englisch. Codice articolo 9783030864859
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proceedings
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Descrizione libro Condizione: New. Codice articolo 43734696-n
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Machine Learning and Knowledge Discovery in Databases. Research Track
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ISBN 10: 3030864855
ISBN 13: 9783030864859
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Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 multi-volume set LNAI 1. Codice articolo 494332789
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13¿17, 2021, Proceedings, Part I
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Springer International Publishing
(2021)
ISBN 10: 3030864855
ISBN 13: 9783030864859
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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783030864859
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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13?17, 2021, . I (Lecture Notes in Computer Science, 12975)
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Descrizione libro Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP. Codice articolo 26390224990
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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13?17, 2021, . I (Lecture Notes in Computer Science, 12975)
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Descrizione libro Condizione: New. Print on Demand. Codice articolo 389407617
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