Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
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The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
The procedure of the optimal QMUD under quantum Bayes cost is given in this paper. Performance comparisons with classical techniques show an improvement when quantum detection is employed.