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The SVM (Support Vector Machine) is superior to other artificial neural network (such as the BP network) in classification. And its rapid development and the wide application are due to the introduction of the concept of soft margin. However, the traditional soft margin SVM gives the same misclassification costs for the various sample data, thus the processing results of the real data are not satisfactory...
Hyper surface classification (HSC) based on Jordan Curve Theorem is proven to be a simple and effective method to classify large datasets. Like most of classification algorithms, noise could also impact its accuracy even if the HSC algorithm limits the influence of noise in a local small region. In this paper, we propose a method that intuitively captures the primary goal of improving the accuracy...
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