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The asymmetry of different misclassification costs is a common problem in many realistic applications. However, most of the traditional classifiers pursue high recognition accuracy, assuming that different misclassification errors bring uniform cost. This paper proposes two cost-sensitive models based on support vector data description (SVDD) to minimize classification costs while maximize classification...
A new method is proposed in this paper to determine the rejection thresholds. First, the minimum risk decision rules are analyzed and the cost function is founded. After taking into account the rejection cost, the cost function is modified and the requirement that the rejection thresholds shall satisfy to minimize the cost function is given. Second, the property of ROC is analyzed based on conditional...
The current precession period extraction methods are analyzed in this paper. Considering their low accuracy and stability in low SNR environment, a new method is proposed based on the double average magnitude difference function (DAMDF). Utilizing the current methods' same period characteristic with the original data and the average argument's decay characteristic with the increase of step, the result...
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