LEADER 01068nam a22002531i 4500 001 991002509199707536 005 20040402135528.0 008 040407s1967 it a||||||||||||||||ita 035 $ab12933223-39ule_inst 035 $aARCHE-091283$9ExL 040 $aDip.to Scienze Storiche$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a551.5784 100 1 $aZanon, Giorgio$0130025 245 10$aConsiderazioni sulle valanghe /$cdi Giorgio Zanon 260 $a[S.l. :$bs.n.,$c1967?] 300 $a38 p. :$bill. : ;$c27 cm 500 $aFa parte di: Pubblicazioni dell'Istituto di geografia / Università degli studi di Padova, v. 7 (1966/68). 500 $aEstr. da: Bollettino del Club alpino italiano, v. 46, n. 79 (1967). 907 $a.b12933223$b02-04-14$c16-04-04 912 $a991002509199707536 945 $aLE009 GEOG.MISC. 15/34$g1$iLE009A-20/34 IGM$lle009$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i13507783$z16-04-04 996 $aConsiderazioni sulle valanghe$9281623 997 $aUNISALENTO 998 $ale009$b16-04-04$cm$da $e-$fita$git $h0$i1 LEADER 03654nam 22006495 450 001 9910484162203321 005 20251226200416.0 010 $a3-642-40705-6 024 7 $a10.1007/978-3-642-40705-5 035 $a(CKB)3710000000024395 035 $a(SSID)ssj0001049569 035 $a(PQKBManifestationID)11623130 035 $a(PQKBTitleCode)TC0001049569 035 $a(PQKBWorkID)11019864 035 $a(PQKB)10144969 035 $a(DE-He213)978-3-642-40705-5 035 $a(MiAaPQ)EBC3093116 035 $a(PPN)176115145 035 $a(EXLCZ)993710000000024395 100 $a20131021d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPartially Supervised Learning $eSecond IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers /$fedited by Zhi-Hua Zhou, Friedhelm Schwenker 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (IX, 117 p. 34 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v8183 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-40704-8 327 $aPartially Supervised Anomaly Detection using Convex Hulls on a 2D Parameter Space -- Self-Practice Imitation Learning from Weak Policy -- Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition -- Adaptive Graph Constrained NMF for Semi-Supervised Learning -- Kernel Parameter Optimization in Stretched Kernel-based Fuzzy Clustering -- Conscientiousness Measurement from Weibo?s Public Information -- Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces -- Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data -- A Robust Image Watermarking Scheme Based on BWT and ICA -- A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition. 330 $aThis book constitutes the thoroughly refereed revised selected papers from the Second IAPR International Workshop, PSL 2013, held in Nanjing, China, in May 2013. The 10 papers included in this volume were carefully reviewed and selected from 26 submissions. Partially supervised learning is a rapidly evolving area of machine learning. It generalizes many kinds of learning paradigms including supervised and unsupervised learning, semi-supervised learning for classification and regression, transductive learning, semi-supervised clustering, multi-instance learning, weak label learning, policy learning in partially observable environments, etc. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v8183 606 $aData mining 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 615 0$aData mining. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 676 $a004 702 $aZhou$b Zhi-Hua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchwenker$b Friedhelm$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484162203321 996 $aPartially Supervised Learning$92556264 997 $aUNINA