• 核主成分分析 - 引用次数：8

  This model constructs two feature extractors based on Kernel Principle Component Analysis(KPCA) and Kernel Independent Component Analysis(KICA), and uses a novel ensemble approach to learn the results produced by the extractors.

  该模型分别构造基于核主成分分析(KPCA)和核独立成分分析(KICA)的特征提取器，并采用集成学习对特征提取结果进行整合学习。

  参考来源 - 基于分布式集成学习的入侵检测模型

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