Presentation
Deleting or Keeping Outliers for Classifier Training?
| Author/s | Tallón Ballesteros, Antonio Javier
Riquelme Santos, José Cristóbal 
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| Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
| Publication Date | 2014 |
| Deposit Date | 2016-06-23 |
| Published in |
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| ISBN/ISSN | 978-1-4799-5936-5 |
| Abstract | This paper introduces two statistical outlier
detection approaches by classes. Experiments on binary and
multi-class classification problems reveal that the partial
removal of outliers improves significantly one or ... |
| Project ID. | TIN2007- 68084-C02-02
TIN2011-28956-C02-02
Pll-TIC-7528 |
| Citation | Tallón Ballesteros, A.J. y Riquelme Santos, J.C. (2014). Deleting or Keeping Outliers for Classifier Training?. En Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC), 2014 (281-286), Porto (Portugal): IEEE. |
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| Files | Size | Format | View | Description |
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| Deletin or keeping.pdf | 564.1Kb | 
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http://hdl.handle.net/11441/42708
https://doi.org/http://dx.doi.org/10.1109/NaBIC.2014.6921892This item appears in the following collection(s)
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