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  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.28 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  2. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.21 
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    Abstract
    Künstliche Intelligenz kann lernen anhand von Erfahrungen und Vorgaben. Das Problem ist aber, dass sich maschinelles Lernen zwar in eine bestimmte Richtung steuern lässt, um bestimmte Probleme zu lösen, dass aber der Programmierer mitunter nicht mehr weiß, was in dem "künstlichen Gehirn" bzw. dem neuronalen Netzwerk vor sich geht, das mit zunehmender Komplexität und Lernerfahrung für den Menschen zur Black Box wird, wo man nur sehen kann, was an Daten einfließt und was herauskommt.
    Date
    22. 1.2018 11:08:27
  3. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.18 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  4. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.18 
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  5. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.16 
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    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
  6. Herrmann, J.: Maschinelles Lernen und wissensbasierte Systeme : Systematische Einführung mit praxisorientierten Fallstudien (1997) 0.14 
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    RSWK
    Wissensbasis / Lebenszykluskonzept / Maschinelles Lernen (213) (321)
    Subject
    Wissensbasis / Lebenszykluskonzept / Maschinelles Lernen (213) (321)
  7. MAB2 : Maschinelles Austauschformat für Bibliotheken (1995) 0.12 
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  8. Handbuch der Künstlichen Intelligenz (2003) 0.12 
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    Abstract
    Das Handbuch der Künstlichen Intelligenz bietet die umfassendste deutschsprachige Übersicht über die Disziplin "Künstliche Intelligenz". Es vereinigt einführende und weiterführende Beiträge u.a. zu folgenden Themen: - Kognition - Neuronale Netze - Suche, Constraints - Wissensrepräsentation - Logik und automatisches Beweisen - Unsicheres und vages Wissen - Wissen über Raum und Zeit - Fallbasiertes Schließen und modellbasierte Systeme - Planen - Maschinelles Lernen und Data Mining - Sprachverarbeitung - Bildverstehen - Robotik - Software-Agenten Das Handbuch bietet eine moderne Einführung in die Künstliche Intelligenz und zugleich einen aktuellen Überblick über Theorien, Methoden und Anwendungen.
    Date
    21. 3.2008 19:10:22
  9. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.12 
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    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  10. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.12 
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  11. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.12 
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    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
  12. Hoppe, A.: ¬Die systematischen Grundlagen für ein linguistisch orientiertes maschinelles Dokumentationsverfahren (1969) 0.11 
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  13. Lepsky, K.: Maschinelles Indexieren zur Verbesserung der sachlichen Suche im OPAC : DFG-Projekt an der Universitäts- und Landesbibliothek Düsseldorf (1994) 0.11 
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  14. MAB2 : Maschinelles Austauschformat für Bibliotheken (1999) 0.11 
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  15. Sarre, F.; Güntzer, U.; Myka, A.; Jüttner, G.: Maschinelles Lernen von Relationen für Thesauri und Hypertext (1992) 0.10 
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    Abstract
    Fortschrittliche Informationssysteme stellen ihren Benutzern 2 wichtige Suchmethoden zur Verfügung: die gezielte (Volltext-) Suche und das Navigieren im Objektbestand mit Hilfe von Hypertext-Links. Der Grund, warum diese beiden Konzepte aber auf breiter Basis noch nicht in jedem Informationssystem Anwendung gefunden haben, ist darin zu sehen, daß der manuelle Aufbau von umfassenden Hypertext-Strukturen auf der einen Seite und von großen Thesauri, die den Erfolg von Volltextsuchen wesentlich steigern, auf der anderen Seite bislang enormen Aufwand und damit hohe Kosten verursachte. Langfristig werden Informationssysteme aber nur dann große Akzeptanz bei der Benutzerschaft erzielen, wenn sie ihre Benutzer mit diesen beiden Techniken unterstützen und wenn sie dynamisch neuen Informationsbedürfnissen anpassen können, also lernfähig sind. Für den einzelnen Benutzer ergibt sich daraus der wesentliche Vorteil, daß er von den Recherche-Erfahrungen anderer Benutzer profitieren kann. In diesem Papier stellen wir eine Lernkomponente vor, die für das Hypertextsystem 'HyperMan' an der TU München entwickelt und implementiert wurde. Wir zeigen beispielhaft, wie Volltext-Suchanfragen der HyperMan-Benutzer von der Lernkomponente untersucht werden, um Thesauruseinträge zu gewinnen. Bei der Entwicklung dieser Lerntechniken zum (automatischen) Thesaurusaufbau konnte auf Erfahrungen mit dem lernfähigen Information Retrieval System 'Tegen' zurückgegriffen werden. In dem HyperMan System werden aber nicht nur Beziehungen (Relationen) zwischen Begriffen erlernt, sondern auch zwischen Textstücken. Wir gehen daher auch darauf ein, wie aufgrund einer Analyse des Benutzerverhaltens sowohl neue Hypertext-Links erlernt als auch vorhandene Links, die zuvor von HyperMans Generierungskomponente automatisch erzeugt wurden, modifiziert werden
  16. Lepsky, K.: Automatisierung in der Sacherschließung : Maschinelles Indexieren von Titeldaten (1996) 0.09 
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  17. Maschinelles Austauschformat für Bibliotheken : MAB, Grundwerk (1992) 0.09 
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  18. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.09 
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    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
  19. Logothetis, N.K.: ¬Das Sehen : ein Fenster zum Bewußtsein (2000) 0.08 
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    Abstract
    Wie merken wir, was wir sehen? Die Hirnvorgänge beim Wahrnehmen doppeldeutiger Testbilder eröffnen faszinierende Einblicke in das Wesen geistiger Prozesse
    Content
    Mehrere Bilder: (1) Dahli, 3 Gesichter ? (2) Necker-Würfel (3) Sehen -> Wahrnehmung
    Date
    22. 7.2000 19:02:07
  20. Schmid, U.: Aus Erfahrung schlau : Maschinelles Lernen (2002) 0.08 
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Authors

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  • s 48
  • x 35
  • i 23
  • ? 8
  • b 7
  • r 7
  • d 3
  • l 3
  • p 2
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  • au 1
  • n 1
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