Semantic anomaly is common in language use. Although it has never been the focus of the linguistic study, discusssions on it have been seen in the field of semantics.
语义异常在语言中是昔遍存在的现象,虽处于学术研究的边缘,却也一直散见于各种语义学论著中。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
论文提出了一种基于潜在语义索引(LSI)和支持向量机(SVM)的异常入侵检测方法。
应用推荐