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Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings - Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Hendrik Blockeel
Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings - Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Hendrik Blockeel
Jacket Description/Back: 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. Table of Contents: 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.
740 pages, 198 black & white illustrations, biography
Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
Lançado | 12 de setembro de 2013 |
ISBN13 | 9783642409875 |
Editoras | Springer-Verlag Berlin and Heidelberg Gm |
Páginas | 740 |
Dimensões | 155 × 235 × 42 mm · 1,11 kg |
Idioma | French |
Editor | Blockeel, Hendrik |
Editor | Kersting, Kristian |
Editor | Nijssen, Siegfried |
Editor | Zelezny, Filip |
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