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Titolo: |
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
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Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Edizione: | 1st ed. 2013. |
Descrizione fisica: | 1 online resource (LIV, 691 p. 198 illus.) |
Disciplina: | 006.31 |
Soggetto topico: | Data mining |
Artificial intelligence | |
Pattern recognition | |
Computer science—Mathematics | |
Mathematical statistics | |
Information storage and retrieval | |
Data Mining and Knowledge Discovery | |
Artificial Intelligence | |
Pattern Recognition | |
Discrete Mathematics in Computer Science | |
Probability and Statistics in Computer Science | |
Information Storage and Retrieval | |
Persona (resp. second.): | BlockeelHendrik |
KerstingKristian | |
NijssenSiegfried | |
ŽeleznýFilip | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Machine Learning and Knowledge Discovery in Databases ![]() |
ISBN: | 3-642-40988-1 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910483427203321 |
Lo trovi qui: | Univ. Federico II |
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