泛化种
- 网络generalist
泛化种-
纠错输出码作为监督分类领域中的一个新的研究方向，是提高分类器泛化能力的一种有效方法，但目前还没有通用的确定性编码方法。
Supervised classification based on error-correcting output codes ( ECOC ) is a new research direction to improve the generalization of classifiers , yet there is no general method to construct ECOC for any number of classes .
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该模型结合Snort规则的特征和数据挖掘中的知识，提出聚类泛化和最近邻泛化两种新的规则泛化方法来改进规则，增强Snort的检测能力，从而达到识别更多入侵行为的目的。
In the new model , combining the characteristics of Snort rules and algorithms in data mining , both cluster generalization and nearest neighbor generalization were also proposed to enhance the detection ability of rules and achieve the goal of detecting more intrusions .