增加检测器覆盖非自体区域的简单方法

免疫启发式否定选择算法应用于数据集中的异常检测。这种检测基于自体/非自体的识别,他的特征是具有通过自体或规则样本信息检测非自体样本的能力。所以,问题空间被分成两个不相交的子空间：一个子空间包含自体样本,另一个子空间包含促使通过否定选择算法生成检测器的样本。因此,否定选择算法的效率与检测器覆盖非自体空间范围成正比。在文章中,提出了一种扩大检测器覆盖范围的简单方法。

Simple Method of Increasing the Coverage of Nonself Region for Detector

One of the intriguing applications of immune-inspired negative selection algorithm is anomaly detection in the datasets.Such a detection is based on the self/nonself discrimination and its characteristic feature is the ability of detecting nonself samples by using only information about the self,or regular,samples.Thus the problem space is splitted into two disjoint subspaces: One of them contains self samples and the second is covered by the samples which activate the detectors generated by the negative se...