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Combining Supervised and Unsupervised Learning : An Ensemble Learning Framework Proposal
Siebers, Michael (2019): Combining Supervised and Unsupervised Learning : An Ensemble Learning Framework Proposal, in: Technical Report. Report of the symposium „Lernen, Wissen, Adaptivität 2011“ of the GI special interest groups KDML, IR and WM., Bamberg: Otto-Friedrich-Universität, doi: 10.20378/irb-46650.
Faculty/Chair:
Author:
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:
Year of publication:
2019
Pages:
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:
English
DOI:
Licence:
GND Keywords: ; ; ;
Künstliche Intelligenz
Algorithmus
Überwachtes Lernen
Unüberwachtes Lernen
Keywords:
-
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
Type:
Contribution to an Articlecollection
Activation date:
December 12, 2019
Permalink
https://fis.uni-bamberg.de/handle/uniba/46650