| DOI | Resolve DOI: https://doi.org/10.1007/3-540-70659-3_45 |
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| Author | Search for: Somorjai, Ray1; Search for: Janeliunas, Arunas; Search for: Baumgartner, Richard1; Search for: Raudys, Sarunas |
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| Affiliation | - National Research Council of Canada. NRC Institute for Biodiagnostics
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| Format | Text, Book Chapter |
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| Conference | Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2002) and Statistical Pattern Recognition (SPR 2002), August 6–9, 2002, Windsor, Ontario, Canada |
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| Abstract | We compare two diverse classification strategies on real-life biomedical data. One is based on a genetic algorithm-driven feature extraction method, combined with data fusion and the use of a simple, single classifier, such as linear discriminant analysis. The other exploits a single layer perceptron-based, data-driven evolution of the optimal classifier, and data fusion. We discuss the intricate interplay between dataset size, the number of features, and classifier complexity, and suggest different techniques to handle such problems. |
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| Publication date | 2002 |
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| Publisher | Springer Berlin Heidelberg |
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| In | |
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| Series | |
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| Peer reviewed | Yes |
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| NRC number | NRC-IBD-1925 |
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| NPARC number | 9147594 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 5cd15de8-9fd8-490a-94ed-3267ac0e6a20 |
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| Record created | 2009-06-25 |
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| Record modified | 2020-06-12 |
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