Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III

Autor: Michelangelo Ceci, Yasemin Altun, Kamalika Das, Donato Malerba, Jesse Read

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European...

Informace o knize

Autor

Michelangelo Ceci, Yasemin Altun, Kamalika Das, Donato Malerba, Jesse Read

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2017

Stránek

448

EAN

9783319712727

ISBN

3319712721

Enbook ID

18346274

Vydavatel

Springer International Publishing AG

Hmotnost

735

Rozměry

155 x 235 x 28

Kompletní popis

The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 104 papers presented in these books was carefully reviewed and selected from 364 submissions. The papers were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.

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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III

Informace o knize

Kompletní popis

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