LEADER 04200nam 22007575 450 001 996466171503316 005 20200629215849.0 010 $a3-642-28258-X 024 7 $a10.1007/978-3-642-28258-4 035 $a(CKB)3400000000025786 035 $a(SSID)ssj0000666269 035 $a(PQKBManifestationID)11395029 035 $a(PQKBTitleCode)TC0000666269 035 $a(PQKBWorkID)10664847 035 $a(PQKB)10711192 035 $a(DE-He213)978-3-642-28258-4 035 $a(MiAaPQ)EBC3069872 035 $a(PPN)159087619 035 $a(EXLCZ)993400000000025786 100 $a20120209d2012 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPartially Supervised Learning$b[electronic resource] $eFirst IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers /$fedited by Friedhelm Schwenker, Edmondo Trentin 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (X, 159 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7081 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-28257-1 320 $aIncludes bibliographical references and author index. 330 $aThis book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. 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