该方法是从原始审计记录中归纳学习分类规则并利用这些规则建立入侵检测模型。
Classfication rules are inductively learned from audit records and used as intrusion detection models.
研究人工分类、机器学习分类的结合方法，提出基于“分类-使用-调整”逐步求精的分类方法。
Studying the combination of manual and machine learning classification, an classification approach for improving the precision based on "classification-use-adjustment is proposed".
文章简要介绍了人脸检测和支持向量机的概念，重点分析了常用的人脸检测方法和支持向量机如何应用于学习分类。
This part briefly introduces the concepts of human face detection and SVM, analyzes common face detection methods and how SVM be applied to learning and classifying.
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