LEADER 01398cam a2200289 4500 001 991002969589707536 005 20250430125932.0 008 940921s1796 it b 000 0 ita 035 $ab14262058-39ule_inst 035 $aCICOGNARA-0282$9ExL 040 $aBibl. Interfacoltà T. Pellegrino$bita 100 1 $aAffò, Ireneo,$cO.F.M.$d<1741-1797>$0402325 245 13$aIl parmigiano servitor di piazza :$bovvero Dialoghi di Frombola dè quali dopo varie notizie interessanti su le pitture di Parma, si porge il catalogo delle principali. 260 $aParma,$bCarmignani,$c1796. 300 $a203 p.; $c17 cm. 500 $aRiproduzione in microfiche dell'originale conservato presso la Biblioteca Apostolica Vaticana 650 4$aPittura italiana$zItalia$zParma 651 4$aParma$xDescrizione e viaggi 740 0 $aDialoghi di Frombola 787 18$iLeopoldo Cicognara Program :$tBiblioteca Cicognara$h[microform] : literary sources in the history of art and kindred subjects 787 18$tCatalogo ragionato dei libri d'arte e d'antichità / Leopoldo Cicognara 907 $a.b14262058$b01-04-22$c28-07-16 912 $a991002969589707536 945 $aLE002 SB Raccolta Cicognara, mcrf 4294$g0$lle002$pE0.00$rn$so $t11$u0$v0$w0$x0$y.i15732861$z28-07-16 996 $aParmigiano servitor di piazza$91388317 997 $aUNISALENTO 998 $ale002$b28-07-16$cm$dg $e-$fita$git $h3$i1 LEADER 04066nam 22007455 450 001 9910298982003321 005 20250408081211.0 010 $a3-319-13644-5 024 7 $a10.1007/978-3-319-13644-8 035 $a(CKB)3710000000372006 035 $a(EBL)1998202 035 $a(OCoLC)904397963 035 $a(SSID)ssj0001465263 035 $a(PQKBManifestationID)11873793 035 $a(PQKBTitleCode)TC0001465263 035 $a(PQKBWorkID)11471537 035 $a(PQKB)10838805 035 $a(MiAaPQ)EBC1998202 035 $a(DE-He213)978-3-319-13644-8 035 $z(PPN)258861371 035 $a(PPN)18489042X 035 $a(EXLCZ)993710000000372006 100 $a20150303d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBoosted Statistical Relational Learners $eFrom Benchmarks to Data-Driven Medicine /$fby Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude Shavlik 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (79 p.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 300 $aDescription based upon print version of record. 311 08$a3-319-13643-7 320 $aIncludes bibliographical references. 327 $aIntroduction -- Statistical Relational Learning -- Boosting (Bi-)Directed Relational Models -- Boosting Undirected Relational Models -- Boosting in the presence of missing data -- Boosting Statistical Relational Learning in Action -- Appendix: Booster System. 330 $aThis SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aArtificial intelligence 606 $aStatistics 606 $aData mining 606 $aMedical informatics 606 $aArtificial Intelligence 606 $aStatistical Theory and Methods 606 $aData Mining and Knowledge Discovery 606 $aHealth Informatics 615 0$aArtificial intelligence. 615 0$aStatistics. 615 0$aData mining. 615 0$aMedical informatics. 615 14$aArtificial Intelligence. 615 24$aStatistical Theory and Methods. 615 24$aData Mining and Knowledge Discovery. 615 24$aHealth Informatics. 676 $a005.75 676 $a005.756 700 $aNatarajan$b Sriraam$4aut$4http://id.loc.gov/vocabulary/relators/aut$0950756 702 $aKersting$b Kristian$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKhot$b Tushar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShavlik$b Jude$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298982003321 996 $aBoosted Statistical Relational Learners$92149588 997 $aUNINA