9783319712451 - machine learning and knowledge discovery in databases: european conference, ecml pkdd 2017, skopje, macedonia, september 18–22, 2017, proceedings: 10535 (12 risultati)
Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18?22, 2017, Proceedings
Ceci, Michelangelo (EDT); Hollmen, Jaakko (EDT); Todorovski, Ljupco (EDT); Vens, Celine (EDT); D?eroski, Sa?o (EDT)
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Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18?22, 2017, Proceedings
Ceci, Michelangelo (EDT); Hollmen, Jaakko (EDT); Todorovski, Ljupco (EDT); Vens, Celine (EDT); D?eroski, Sa?o (EDT)
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Machine Learning and Knowledge Discovery in Databases
Ceci, Michelangelo|Hollmén, Jaakko|Todorovski, Ljupco|Vens, Celine|Dzeroski, Saso
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Taschenbuch. Condizione: Neu. Machine Learning and Knowledge Discovery in Databases | European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II | Michelangelo Ceci (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxxiii | Englisch | 2018 | Springer | EAN 9783319712451 | Verant…wortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 101… regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions 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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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions 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. 900 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 900 pp. Englisch.
