Optimal Parameters of Suppor Vector Machine for Classification of Multispectral Brain Mri
نویسندگان
چکیده
Support vector machine (SVM) has been widely used as a powerful tool for classification problem arising from various fields and shown that the parameters are critical in the performance of SVM [1]. However, the same parameters are not suitable for all classification problems. In this paper, numerical results show that the performance of SVM with optimal parameters is significant difference to empirical parameters. In addition, we recommend independent component analysis (ICA) method as the pre-processing step to get the robust performance of SVM classification problems in brain MR
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تاریخ انتشار 2008