NDLI: Weighted support vector machine for classification

Content Provider	IEEE Xplore Digital Library
Author	Shu-Xin Du Sheng-Tan Chen
Copyright Year	2005
Description	Author affiliation: Inst. of Intelligent Syst. & Decision Making, Zhejiang Univ., Hangzhou, China (Shu-Xin Du)
Abstract	In the standard support vector machines for classification, the use of training sets with uneven class sizes results in classification biases towards the class with the large training size. The main causes lie in that the penalty of misclassification for each training sample is considered equally. Weighted support vector machines for classification are proposed in this paper where penalty of misclassification for each training sample is different. By setting the equal penalty for the training samples belonging to same class, and setting the ratio of penalties for different classes to the inverse ratio of the training class sizes, the obtained weighted support vector machines compensate for the undesirable effects caused by the uneven training class size, and the classification accuracy for the class with small training size is improved. But this improvement is obtained at the cost of the possible decrease of classification accuracy for the class with large training size and the possible decrease of the total classification accuracy. Two weighted support vector machines, namely weighted C-SVM and V-SVM, corresponding to C-SVM and V-SVM are given respectively. Experimental simulations on breast cancer diagnosis show the effectiveness of the proposed methods.
Starting Page	3866
Ending Page	3871
File Size	186083
Page Count	6
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Support vector machine classification Object detection Error analysis Fault diagnosis Industrial control Intelligent systems Machine intelligence Decision making Electronic mail uneven training class size support vector machine classification weighting factor
Content Type	Text
Resource Type	Article

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