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Machine Learning and Knowledge Discovery in Databases

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Jefrey LijffijtIsabel ValeraFilip ŽeleznýKristian KerstingFrank HutterSiegfried NijssenHendrik BlockeelFilip ŽeleznýTijl De BieFilip Zelezný10 editions

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.

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  • Jefrey Lijffijt

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  • Isabel Valera

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  • Filip Železný

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  • Kristian Kersting

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  • Frank Hutter

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  • Siegfried Nijssen

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  • Hendrik Blockeel

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  • Filip Železný

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  • Tijl De Bie

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  • Filip Zelezný

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