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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2013 Prague Czech Republic September 2327 2013 Proceedings Part Ii 1st Edition Tengfei Ji

  • SKU: BELL-4333580
Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2013 Prague Czech Republic September 2327 2013 Proceedings Part Ii 1st Edition Tengfei Ji
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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2013 Prague Czech Republic September 2327 2013 Proceedings Part Ii 1st Edition Tengfei Ji instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 13.41 MB
Pages: 693
Author: Tengfei Ji, Dongqing Yang, Jun Gao (auth.), Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný (eds.)
ISBN: 9783642409905, 9783642409912, 3642409903, 3642409911
Language: English
Year: 2013
Edition: 1

Product desciption

Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2013 Prague Czech Republic September 2327 2013 Proceedings Part Ii 1st Edition Tengfei Ji by Tengfei Ji, Dongqing Yang, Jun Gao (auth.), Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný (eds.) 9783642409905, 9783642409912, 3642409903, 3642409911 instant download after payment.

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; and medical applications.

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