Grid base classifier in comparison to nonparametric methods in multiclass classification
In this paper, a new method known as Grid Base Classifier was proposed. This method carries the advantages of the two previous methods in order to improve the classification tasks. The problem with the current lazy algorithms is that they learn quickly, but classify very slowly. On the other hand, t...
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主要な著者: | , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Universiti Putra Malaysia Press
2010
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/40572/1/Grid%20Base%20Classifier%20in%20Comparison%20to%20Nonparametric%20Methods%20in%20Multiclass%20Classification.pdf http://psasir.upm.edu.my/id/eprint/40572/ http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2018%20%281%29%20Jan.%202010/18%20Pg%20139-154.pdf |
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