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Selecting neural ne...
Selecting neural networks for making a committee decision
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- Verikas, Antanas, 1951- (author)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
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- Lipnickas, Arunas (author)
- Kaunas University of Technology, Department of Applied Electronics, Studentu 50, 3031, Kaunas, Lithuania
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- Malmqvist, Kerstin, 1939-2021 (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
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(creator_code:org_t)
- 2002-08-21
- 2002
- English.
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In: ARTIFICIAL NEURAL NETWORKS - ICANN 2002. - Berlin : Springer Berlin/Heidelberg. - 9783540440741 - 9783540460848 ; , s. 420-425
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- To improve recognition results, decisions of multiple neural networks can be aggregated into a committee decision. In contrast to the ordinary approach of utilizing all neural networks available to make a committee decision, we propose creating adaptive committees, which are specific for each input data point. A prediction network is used to identify classification neural networks to be fused for making a committee decision about a given input data point. The jth output value of the prediction network expresses the expectation level that the jth classification neural network will make a correct decision about the class label of a given input data point. The effectiveness of the approach is demonstrated on two artificial and three real data sets.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Keyword
- Neural networks
Publication and Content Type
- ref (subject category)
- kon (subject category)
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