2013, ISBN: 3642409873

[EAN: 9783642409875], Neubuch, [PU: Springer Berlin Heidelberg], BAYESIANNETWORK; DATAMINING; GRAPH-BASEDMETHODS; PARALLELOPTIMIZATION; SOCIALRESPONSIBILITY, Druck auf Anfrage Neuware - P… Plus…

[EAN: 9783642409875], Neubuch, [PU: Springer Berlin Heidelberg], BAYESIANNETWORK; DATAMINING; GRAPH-BASEDMETHODS; PARALLELOPTIMIZATION; SOCIALRESPONSIBILITY, Druck auf Anfrage Neuware - Printed after ordering - 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. 748 pp. Englisch, Books<

2012, ISBN: 9783642409875

[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Le… Plus…

[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 4.50], Neuware, gewerbliches Angebot, 235x155x40 mm, 748, [GW: 1112g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2013, ISBN: 3642409873

[EAN: 9783642409875], Neubuch, [PU: Springer Berlin Heidelberg Sep 2013], BAYESIANNETWORK; DATAMINING; GRAPH-BASEDMETHODS; PARALLELOPTIMIZATION; SOCIALRESPONSIBILITY, This item is printed… Plus…

[EAN: 9783642409875], Neubuch, [PU: Springer Berlin Heidelberg Sep 2013], BAYESIANNETWORK; DATAMINING; GRAPH-BASEDMETHODS; PARALLELOPTIMIZATION; SOCIALRESPONSIBILITY, This item is printed on demand - it takes 3-4 days longer - Neuware -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. 748 pp. Englisch, Books<