LEADER 05409nam 22008175 450 001 996466041203316 005 20200703070729.0 010 $a3-642-40988-1 024 7 $a10.1007/978-3-642-40988-2 035 $a(CKB)3710000000015955 035 $a(SSID)ssj0000988201 035 $a(PQKBManifestationID)11584617 035 $a(PQKBTitleCode)TC0000988201 035 $a(PQKBWorkID)10949345 035 $a(PQKB)11748705 035 $a(DE-He213)978-3-642-40988-2 035 $a(MiAaPQ)EBC3093061 035 $a(PPN)172430283 035 $a(EXLCZ)993710000000015955 100 $a20130828d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning and Knowledge Discovery in Databases$b[electronic resource] $eEuropean Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I /$fedited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip ?elezný 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (LIV, 691 p. 198 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8188 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-40987-3 327 $aReinforcement 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. 330 $aThis three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track. 410 0$aLecture Notes in Artificial Intelligence ;$v8188 606 $aData mining 606 $aArtificial intelligence 606 $aPattern recognition 606 $aComputer science?Mathematics 606 $aMathematical statistics 606 $aInformation storage and retrieval 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aComputer science?Mathematics. 615 0$aMathematical statistics. 615 0$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aProbability and Statistics in Computer Science. 615 24$aInformation Storage and Retrieval. 676 $a006.31 702 $aBlockeel$b Hendrik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKersting$b Kristian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNijssen$b Siegfried$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $a?elezný$b Filip$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466041203316 996 $aMachine Learning and Knowledge Discovery in Databases$9773712 997 $aUNISA LEADER 01431nam 2200385 n 450 001 996394540203316 005 20221108061055.0 035 $a(CKB)4940000000120336 035 $a(EEBO)2248496934 035 $a(UnM)99827820 035 $a(UnM)9927747000971 035 $a(EXLCZ)994940000000120336 100 $a19950314d1679 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$athe letters three$b[electronic resource] $ea young-man walking forth in this merry month of May, finding his true love was gone astray, all his desire was to speak with her, before that he was gone to sea. To a pleasant new tune; or, Letters three 210 $a[London] $cPrinted for F. Coles, T. Vere, J. Wright; and J. Clarke$d[1679] 215 $a1 sheet ([1] p.) $cill 300 $aVerse - "VVith letters three, I do begin,". 300 $aSigned at end: By M.S. 300 $aPlace of publication from Wing, which estimates 1674-1679 as publication date. 300 $aIn two parts; woodcuts at head of each part. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aBallads, English$y17th century 615 0$aBallads, English 700 $aM. S$01003518 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996394540203316 996 $aThe letters three$92304058 997 $aUNISA