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- W2374776489 abstract "This paper is devoted to study a feature election method based on support vector machine-feature weight.Experiments with two kinds of data taken from UCI machine learning repository show that feature weight method is superior to F-score method and SVM on the classification results." @default.
- W2374776489 created "2016-06-24" @default.
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- W2374776489 date "2011-01-01" @default.
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- W2374776489 title "Feature Selection Based on Support Vector Machine" @default.
- W2374776489 hasPublicationYear "2011" @default.
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