Combining Supervised and Unsupervised Learning : An Ensemble Learning Framework Proposal






Faculty/Professorship: Cognitive Systems  
Author(s): Siebers, Michael  
Title of the compilation: Technical Report. Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM.
Corporate Body: LWA, 13, 2011, Magdeburg, Germany
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2019
Pages: 3
Source/Other editions: LWA 2011 - Otto-von-Guericke-Universität Magdeburg, 28. - 30. September 2011 : technical report ; report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM / eds.: Myra Spiliopoulou; Andreas Nürnberger; Rene Schult Magdeburg : Univ., 2011.
Year of first publication: 2011
Language(s): English
DOI: 10.20378/irb-46650
Licence: German Act on Copyright 
URL: http://lwa2011.dke-research.de/LWA2011_TechRepo...
https://fis.uni-bamberg.de/handle/uniba/46920
URN: urn:nbn:de:bvb:473-irb-466507
GND Keywords: Künstliche Intelligenz; Algorithmus; Überwachtes Lernen; Unüberwachtes Lernen
DDC Classification: 004 Computer science  
RVK Classification: ST 300   
Peer Reviewed: Ja
International Distribution: Nein
Type: Contribution to an Articlecollection
URI: https://fis.uni-bamberg.de/handle/uniba/46650
Release Date: 12. December 2019

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