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Guo, Ling; Rivero, Daniel; Dorado, Julián; Munteanu, Cristian R.; Pazos, Alejandro
Expert systems with applications, 08/2011, Letnik: 38, Številka: 8Journal Article
► GP based feature extraction. ► KNN performance improvement. ► Feature space reduction. This paper applies genetic programming (GP) to perform automatic feature extraction from original feature database with the aim of improving the discriminatory performance of a classifier and reducing the input feature dimensionality at the same time. The tree structure of GP naturally represents the features, and a new function generated in this work automatically decides the number of the features extracted. In experiments on two common epileptic EEG detection problems, the classification accuracy on the GP-based features is significant higher than on the original features. Simultaneously, the dimension of the input features for the classifier is much smaller than that of the original features.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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