05322nam 22007815 450 99646604310331620200703071135.03-642-40994-610.1007/978-3-642-40994-3(CKB)3710000000015957(SSID)ssj0000988204(PQKBManifestationID)11529005(PQKBTitleCode)TC0000988204(PQKBWorkID)10951662(PQKB)11386064(DE-He213)978-3-642-40994-3(MiAaPQ)EBC3093471(PPN)172430305(EXLCZ)99371000000001595720130828d2013 u| 0engurnn#008mamaatxtccrMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III /edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (XLVI, 691 p. 190 illus.)Lecture Notes in Artificial Intelligence ;8190Bibliographic Level Mode of Issuance: Monograph3-642-40993-8 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.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.Lecture Notes in Artificial Intelligence ;8190Data miningArtificial intelligencePattern recognitionComputer science—MathematicsMathematical statisticsInformation storage and retrievalData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XDiscrete Mathematics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17028Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Data 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.006.312Blockeel Hendrikedthttp://id.loc.gov/vocabulary/relators/edtKersting Kristianedthttp://id.loc.gov/vocabulary/relators/edtNijssen Siegfriededthttp://id.loc.gov/vocabulary/relators/edtŽelezný Filipedthttp://id.loc.gov/vocabulary/relators/edtBOOK996466043103316Machine Learning and Knowledge Discovery in Databases773712UNISA01319nam 2200373 450 99628054320331620230814230242.01-5386-7619-2(CKB)4100000007192333(WaSeSS)IndRDA00121464(EXLCZ)99410000000719233320200403d2018 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2018 26th International Conference on Geoinformatics Geoinformatics 2018 : proceedings : June 28-30, 2018, Kunming, China /co-editors, Shixiong Hu [and three others] ; sponsored by Yunnan Normal University [five others]Piscataway, New Jersey :Institute of Electrical and Electronics Engineers,2018.1 online resource (99 pages)1-5386-7620-6 Geographic information systemsCongressesGeoinformaticsCongressesGeographic information systemsGeoinformatics910.285Hu ShixiongYunnan shi fan da xue,WaSeSSWaSeSSPROCEEDING9962805432033162018 26th International Conference on Geoinformatics2526634UNISA01240nam0 22002891i 450 UON0045006320231205105037.56620150202d1965 |0itac50 bafreFR|||| 1||||Entretien entre d'Alembert et DiderotLe reve de d'Alembert ; Suite de l'entretienDiderotchronologie et introduction par Jacques RogerParisGarnier-Flammarion1965186 p.18 cm.valore stimatoIT-UONSI Francese22 G.F.DID/2001UON001734492001 Garnier-Flammarion210 ParisFlammarion53FRParisUONL002984DiderotDenisUONV118009346081RogerJacquesUONV169980Garnier-FlammarionUONV246890650ITSOL20251017RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00450063SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI 22 G.F. DID 2 SI SFR3946 7 2 valore stimatoBuonoLe reve de d'Alembert ; Suite de l'entretien3900475Entretien entre D'Alembert et Diderot1328715UNIOR