LEADER 01307nam--2200397---450- 001 990001717340203316 005 20051020130114.0 035 $a000171734 035 $aUSA01000171734 035 $a(ALEPH)000171734USA01 035 $a000171734 100 $a20040601d1971----km-y0itay0103----ba 101 0 $aita 102 $aIT 105 $aa|||||||001yy 200 1 $aNeuropsicologia della memoria$edisturbi nelle lesioni cerebrali localizzate$fAleksandr Romanovic Lurija$gintroduzione di Giuseppe Cossu$g[traduzione di Giuseppe Cossu, Anna Miazzi] 210 $aRoma$cEditori Riuniti$d1971 215 $aXX, 119 p.$cill.$d19 cm 225 2 $aSerie di psicologia$v54 410 0$12001$aSerie di psicologia$v54 454 1$12001$aNeiropsihologija pamjati$926366 461 1$1001-------$12001 606 0 $aMemoria$xDisturbi 676 $a157 700 1$aLURIJA,$bAleksandr Romanovic$0414440 702 1$aCOSSU,$bGiuseppe 702 1$aMIAZZI,$bAnna 801 0$aIT$bsalbc$gISBD 912 $a990001717340203316 951 $aII.3. Coll.16/ 29(VI Ps Coll C 3/54)$b12389 L.M.$cVI Ps Coll C 959 $aBK 969 $aUMA 979 $aSIAV5$b10$c20040601$lUSA01$h1039 979 $aCOPAT5$b90$c20051020$lUSA01$h1301 996 $aNeiropsihologija pamjati$926366 997 $aUNISA LEADER 04347nam 22007575 450 001 996202524503316 005 20200701172422.0 010 $a3-662-44848-3 024 7 $a10.1007/978-3-662-44848-9 035 $a(CKB)3710000000228656 035 $a(SSID)ssj0001354188 035 $a(PQKBManifestationID)11758997 035 $a(PQKBTitleCode)TC0001354188 035 $a(PQKBWorkID)11322702 035 $a(PQKB)10910583 035 $a(DE-He213)978-3-662-44848-9 035 $a(MiAaPQ)EBC6281404 035 $a(MiAaPQ)EBC5578227 035 $a(Au-PeEL)EBL5578227 035 $a(OCoLC)890806424 035 $a(PPN)181351943 035 $a(EXLCZ)993710000000228656 100 $a20140901d2014 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] $eEuropean Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I /$fedited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XLIV, 709 p. 183 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8724 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-44847-5 327 $aDynamic networks and knowledge discovery -- Interactions between data mining and natural language processing -- Mining ubiquitous and social environments -- Statistically sound data mining -- Machine learning for urban sensor data -- Multi-target prediction -- Representation learning -- Neural connectomics: from imaging to connectivity -- Data analytics for renewable energy integration -- Linked data for knowledge discovery -- New frontiers in mining complex patterns -- Experimental economics and machine learning -- Learning with multiple views: applications to computer vision and multimedia mining -- Generalization and reuse of machine learning models over multiple contexts -- Predictive web analytics. 330 $aThis three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases. 410 0$aLecture Notes in Artificial Intelligence ;$v8724 606 $aData mining 606 $aArtificial intelligence 606 $aPattern recognition 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 $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$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aInformation Storage and Retrieval. 676 $a006.312 702 $aCalders$b Toon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEsposito$b Floriana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHüllermeier$b Eyke$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMeo$b Rosa$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996202524503316 996 $aMachine Learning and Knowledge Discovery in Databases$9773712 997 $aUNISA LEADER 01065nam 2200313Ia 450 001 996395667103316 005 20221108093755.0 035 $a(CKB)4330000000324987 035 $a(EEBO)2248526790 035 $a(OCoLC)11886771 035 $a(EXLCZ)994330000000324987 100 $a19850404d1696 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA brief and plain exposition and paraphrase of the whole book of Revelation$b[electronic resource] $efrom chapter to chapter and verse to verse /$fby Samuel Cradock .. 210 $aLondon $cPrinted for T. Parkhurst ... and J. Robinson ...$d1696 215 $a[40], 256 p 300 $aReproduction of original in the Union Theological Seminary Library. 330 $aeebo-0160 700 $aCradock$b Samuel$f1621?-1706.$01003678 801 0$bEAE 801 1$bEAE 801 2$bm/c 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996395667103316 996 $aA brief and plain exposition and paraphrase of the whole book of Revelation$92385105 997 $aUNISA