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Machine Learning and Knowledge Discovery in Databases

- European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
Engelsk Paperback

Machine Learning and Knowledge Discovery in Databases

- European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
Engelsk Paperback
Tjek vores konkurrenters priser
The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.
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Tjek vores konkurrenters priser
The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 773
ISBN-13: 9783319235240
Indbinding: Paperback
Udgave:
ISBN-10: 3319235249
Kategori: Machine learning
Udg. Dato: 14 sep 2015
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 14 sep 2015
Forfatter(e):
Forfatter(e)

Kategori Machine learning

ISBN-13 9783319235240

Sprog Engelsk

Indbinding Paperback

Sider 773

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 14 sep 2015

Oplagsdato 14 sep 2015

Forlag Springer International Publishing AG