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- W2359403816 abstract "As a new machine learning method,support vector machine(SVM) has been applied in many research fields,such as pattern recognition and function estimate.There is a shortcoming in Weighted SVM and Fuzzy SVM,which takes the weightiness of sample into account but neglects the influence of weightiness of attribute on classification result.In this paper we propose a SVM approach based on the weightiness of attribute,which firstly calculates the weightiness of the feature attributes corresponds to the classification attribute by applying the information gain technology,then calculates the multiplication between the value of the same feature attribute and the corresponding weightiness of attribute for all samples, finally the samples are used for SVM training and testing.The experimental results show that the approach can improve the classification precision of the classifier." @default.
- W2359403816 created "2016-06-24" @default.
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- W2359403816 date "2007-01-01" @default.
- W2359403816 modified "2023-09-23" @default.
- W2359403816 title "Support Vector Machine Based on Weightiness of Sample Attribute" @default.
- W2359403816 hasPublicationYear "2007" @default.
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