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Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
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Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019)
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- Footnote
- https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
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Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008)
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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.
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Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
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Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009)
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- Date
- 29. 8.2009 21:15:48
- Footnote
- Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
-
Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001)
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- Abstract
- Das Problem der Wahrnehmung und Darstellung von Wahrheit durch die Medien führt zu vier zentralen Fragen: Wie viel Wahrheit gibt es in der Welt, über die Journalisten berichten müssen? Wie ermittelt oder recherchiert man diese Wahrheit? Wie trennt man die Spreu vom Weizen? Und wie geht man als Journalist mit dem um, was man als Wahrheit erkannt hat oder erkannt zu haben glaubt? Hier gibt es ganz offensichtlich eine Parallele zwischen Journalisten und Wissenschaftlern. Journalisten und Wissenschaftler brauchen erstens Hypothesen, zweitens geeignete Hypothesentests, drittens ein gutes Abgrenzungs-Kriterium und viertens Verfahren, um die erkannten Sachverhalte auf angemessene Weise für eine Kommunikation mit anderen zu repräsentieren, das heißt sie darzustellen. Es gibt zwei große Unterschiede zwischen Journalisten und Wissenschaftlern: Journalisten sind in der Regel auf raum-zeitlich begrenzte Aussagen aus, Wissenschaftler in der Regel auf raumzeitlich unbegrenzte Gesetze. Aber diese Unterschiede sind fließend, weil Wissenschaftler raum-zeitlich begrenzte Aussagen brauchen, um ihre All-Aussagen zu überprüfen, und Journalisten sich immer häufiger auf das Feld der allgemeinen Gesetzes-Aussagen wagen oder doch zumindest Kausalinterpretationen für soziale Phänomene anbieten. Der zweite Unterschied besteht darin, dass die Wissenschaft weitgehend professionalisiert ist (zumindest gilt dies uneingeschränkt für die Naturwissenschaften und die Medizin), was ihr relativ klare Abgrenzungs- und Güte-Kriterien beschert hat. Diese fehlen weitgehend im Journalismus.
- 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]
-
Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013)
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- Content
- Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
- Date
- 28. 8.2015 12:17:58
-
Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005)
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- Content
- Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
-
Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007)
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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.
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Malsburg, C. von der: ¬The correlation theory of brain function (1981)
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- Source
- http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
-
Wir sehen, was wir gelernt haben (2004)
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- Abstract
- Die optische Wahrnehmung wird noch im Erwchsenenalter durch Lernprozesse im Gehirn optimiert. Das haben Tübinger Max-Planck-Wissenschaftler aufgedeckt
- Date
- 29. 1.1997 18:49:05
-
Purves, D.; Lotto, R.B.; Nundy, S.: Richtiges Sehen - eine optische Täuschung? (2003)
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- Date
- 31.12.1996 19:29:41
- Series
- Wahrnehmung
-
Tsao, D.Y.: ¬Der Gesichtscode (2020)
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- Abstract
- Wie das Gehirn menschliche Antlitze identifiziert, blieb lange rätselhaft. Inzwischen kennen Forscher auf Gesichter spezialisierte Hirnzellen, deren Reaktionen sich mathematisch beschreiben lassen. Auf der gleichen Grundlage könnte generell die visuelle Wahrnehmung beruhen.
- Date
- 18. 6.2020 19:45:28
-
Ballstaedt, S.-P.: Kognition und Wahrnehmung in der Informations- und Wissensgesellschaft. : Konsequenzen gesellschaftlicher Veränderungen für die Psyche (2004)
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- Abstract
- Der Beitrag befasst sich mit Einflüssen der Wissensgesellschaft auf das kognitive System und seine Leistungen, und zwar in den Aspekten Aufmerksamkeit, visuelle Wahrnehmung, Lernen und Wissenserwerb, Gedächtnis, Denken und Verstehen. Die Interaktion von evolutionär mitgebrachter kognitiver Ausstattung und sozialisierter historisch-kultureller Prägung ist bisher nur sehr unzureichend geklärt. Deshalb werden viele Spekulationen darüber geäußert, wie bestimmte Lebensbedingungen der Informations- und Wissensgesellschaft auf die kognitiven Funktionen des Menschen wirken. Dabei geht man entweder von einer prinzipiellen Überforderung oder von einer Entwicklung neuer Kompetenzen aus. Folgende kognitive Bereiche werden im Beitrag behandelt: Aufmerksamkeit, visuelle Wahrnehmung, Lernen und Wissenserwerb, Gedächtnis und Erinnern, Denken und Verstehen. Dabei zeigt sich, dass es zwar Anhaltspunkte für Einflüsse auf Wahrnehmung und Kognition gibt, von nachhaltigen Wirkungen kann aber bisher nicht gesprochen werden.
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Geiß, D.: Aus der Praxis der Patentdokumentation : Arbeitssitzung des Arbeitskreises für Patentdokumentation der Arbeitsgruppe Optische und Elektronische Medien in der Patentinformation (AGM) (2000)
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- Date
- 9. 2.2011 18:22:03
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Neunzert, H.: Mathematische Modellierung : ein "curriculum vitae" (2012)
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- Content
- Vortrag auf der Tagung "Geschichte und Modellierung", Jena, 3. Februar 2012. Vgl. unter: http://www.fmi.uni-jena.de/Fakult%C3%A4t/Institute+und+Abteilungen/Abteilung+f%C3%BCr+Didaktik/Kolloquien.html?highlight=neunzert.
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Sieglerschmidt, J.: Wissensordnungen im analogen und im digitalen Zeitalter (2017)
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- Content
- Vgl. unter: https://books.google.de/books?hl=de&lr=&id=0rtGDwAAQBAJ&oi=fnd&pg=PA35&dq=inhaltserschlie%C3%9Fung+OR+sacherschlie%C3%9Fung&ots=5u0TwCbFqE&sig=GGw3Coc21CINkone-6Lx8LaSAjY#v=onepage&q=inhaltserschlie%C3%9Fung%20OR%20sacherschlie%C3%9Fung&f=false.
