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The Primary Open Angle Glaucoma(POAG) discriminated model using support vector machine(SVC) method is presented to distinguish the primary open-angle glaucoma disease, which is not clear in early symptoms and involves in various risk factors, moreover easy to blind with prolonged intraocular hypertension. Through case study of clinical diagnosis, SVM classifier with a radial basis inner function was...
Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classification and regression, and have shown superior performance compared to other machine learning techniques. In this paper we propose a hybrid classification technique to extract fuzzy rules from the support vector machine and evaluate the rules against decision tree classifier constructed...
By comparing performance of common kernels and wavelet kernels in classification, criterion of effective kernel for support vector classifier is concluded, thereby a tight support kernel is constructed by smoothing Shannon scaling function in Fourier domain and combining with spline function. Experiment results indicate that the proposed kernel has faster training speed and higher accuracy than Gaussian...
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