LEADER 02897nam 2200673 450 001 9910464453903321 005 20200520144314.0 010 $a3-11-038995-9 010 $a3-11-033069-5 024 7 $a10.1515/9783110330694 035 $a(CKB)3360000000515060 035 $a(EBL)1642753 035 $a(OCoLC)903965737 035 $a(SSID)ssj0001406660 035 $a(PQKBManifestationID)12529252 035 $a(PQKBTitleCode)TC0001406660 035 $a(PQKBWorkID)11402233 035 $a(PQKB)11778641 035 $a(MiAaPQ)EBC1642753 035 $a(DE-B1597)212757 035 $a(OCoLC)908605124 035 $a(DE-B1597)9783110330694 035 $a(Au-PeEL)EBL1642753 035 $a(CaPaEBR)ebr11010241 035 $a(CaONFJC)MIL807606 035 $a(EXLCZ)993360000000515060 100 $a20150203h20142014 uy 0 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$ae-vergabe in der praxis /$fherausgegeben von Rainer Noch ; bearbeitet von Rainer Noch, Hilmar Brunner, Florian Andra? 210 1$aBerlin, Germany ;$aBoston, Massachusetts :$cDe Gruyter,$d2014. 210 4$d©2014 215 $a1 online resource (266 p.) 300 $aIncludes index. 311 $a3-11-033070-9 311 $a3-11-033035-0 327 $t Frontmatter -- $tVorwort -- $tInhaltsübersicht -- $tAbkürzungsverzeichnis -- $tBearbeiterverzeichnis -- $tKapitel 1. Die Grundlagen der Elektronischen Vergabe -- $tKapitel 2. eGovernment in der Umsetzung -- $tKapitel 3. Ablauf des elektronischen Vergabeverfahrens -- $tKapitel 4. Einsparungspotentiale durch elektronische Vergabe -- $tKapitel 5. Die Vorteile -- $tKapitel 6. Die Nachteile -- $tKapitel 7. Muster -- $tKapitel 8. Ausblick -- $tStichwortverzeichnis 330 $a E-procurement has become accepted as a public procurement tool in Germany, as it offers proven potential for optimization and cost-savings. As of 1 July 2016, e-procurement will become mandatory. This book offers a detailed presentation of the legal framework and practical uses of e-procurement. It explains the advantages of internet-based procurement, describing common miscalculations and sources of error as well as ways to prevent them. 606 $aGovernment purchasing$xLaw and legislation$zGermany 606 $aLetting of contracts$zGermany 606 $aElectronic contracts$zGermany 608 $aElectronic books. 615 0$aGovernment purchasing$xLaw and legislation 615 0$aLetting of contracts 615 0$aElectronic contracts 676 $a346.43023 702 $aNoch$b Rainer$f1967- 702 $aBrunner$b Hilmar 702 $aAndra?$b Florian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464453903321 996 $aE-vergabe in der praxis$92467845 997 $aUNINA LEADER 02357oam 2200397Ka 450 001 9910260609603321 005 20160803105143.0 035 $a(CKB)2670000000263670 035 $a(OCoLC)827335120$z(OCoLC)1036699394 035 $a(OCoLC-P)827335120 035 $a(MaCbMITP)4360 035 $a(EXLCZ)992670000000263670 100 $a20130212d1993 uy 0 101 0 $aeng 135 $aurcnu---unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine models of music /$fedited by Stephan M. Schwanauer and David A. Levitt 210 $aCambridge, Mass. $cMIT Press$d©1993 215 $a1 online resource (ix, 544 pages) $cillustrations 311 $a0-262-29098-7 330 3 $a"Machine Models of Music brings together representative models ranging from Mozart's "Musical Dice Game" to a classic article by Marvin Minsky and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research. Major sections of the book take up pioneering research in generate-and-test composition (Lejaren Hiller, Barry Brooks, Jr., Stanley Gill); composition parsing (Allen Forte, Herbert Simon, Terry Winograd); heuristic composition (John Rothgeb, James Moorer, Steven Smoliar); generative grammars (Otto Laske, Gary Rader, Johan Sundberg, Fred Lerdahl); alternative theories (Marvin Minsky, James Meehan); composition tools (Charles Ames, Kemal Ebcioglu, David Cope, C. Fry); and new directions (David Levitt, Christopher Longuet-Higgins, Jamshed Bharucha, Stephan Schwanauer). Stephan Schwanauer is President of Mediasoft Corporation. David Levitt is the founder of HIP Software and head of audio products at VPL Research." 606 $aArtificial intelligence$xMusical applications 610 $aCOMPUTER SCIENCE/Computer Music 610 $aCOMPUTER SCIENCE/Artificial Intelligence 615 0$aArtificial intelligence$xMusical applications. 676 $a781.3/4 701 $aSchwanauer$b Stephan M$01208413 701 $aLevitt$b David A$01091145 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910260609603321 996 $aMachine models of music$92787712 997 $aUNINA