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。
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.
研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
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.
本文给出在量子贝叶斯最小代价准则下量子最优解的实现过程，与经典多用户检测最优解相比，基于量子检测的最佳多用户检测技术的性能得到了极大的提高。
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.
本文给出在量子贝叶斯最小代价准则下量子最优解的实现过程，与经典多用户检测最优解相比，基于量子检测的最佳多用户检测技术的性能得到了极大的提高。
应用推荐