2013, ISBN: 9783642409882
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2013, ISBN: 9783642409882
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, he… Mehr…
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2013, ISBN: 9783642409882
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2013, ISBN: 9783642409882
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2013, ISBN: 9783642409882
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, he… Mehr…
Hendrik Blockeel; Kristian Kersting; Siegfried Nijssen; Filip Železný:
Machine Learning and Knowledge Discovery in Databases - neues Buch2013, ISBN: 9783642409882
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, he… Mehr…
2013
ISBN: 9783642409882
European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin He… Mehr…
2013, ISBN: 9783642409882
European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I - neues Buch
2013, ISBN: 9783642409882
; PDF; Scientific, Technical and Medical > Mathematics > Discrete mathematics, Cuento de Luz
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Detailangaben zum Buch - Machine Learning and Knowledge Discovery in Databases
EAN (ISBN-13): 9783642409882
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-04-18T22:19:00+02:00 (Berlin)
Detailseite zuletzt geändert am 2021-11-23T12:41:12+01:00 (Berlin)
ISBN/EAN: 9783642409882
ISBN - alternative Schreibweisen:
978-3-642-40988-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: kersting
Titel des Buches: machine learning, knowledge discovery databases
Daten vom Verlag:
Autor/in: Hendrik Blockeel; Kristian Kersting; Siegfried Nijssen; Filip Železný
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
Verlag: Springer; Springer Berlin
691 Seiten
Erscheinungsjahr: 2013-08-28
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
LIV, 691 p. 198 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Data Mining; Verstehen; bayesian network; data mining; graph-based methods; parallel optimization; social responsibility; C; Data Mining and Knowledge Discovery; Artificial Intelligence; Automated Pattern Recognition; Discrete Mathematics in Computer Science; Probability and Statistics in Computer Science; Information Storage and Retrieval; Computer Science; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Mustererkennung; Mathematik für Informatiker; Diskrete Mathematik; Wahrscheinlichkeitsrechnung und Statistik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BC
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track.State-of-the-art research Up-to-date results Unique visibility
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