Combining the Maximal Margin Principle and the Kernel Function Theory, it has effectively solved the difficult problems which have perplexed the machine learning researchers for a long time, such as small-sample, high-dimension, nonlinear, over-fitting, local optimal solution, etc.
它将最大间隔原则和核函数理论结合在一起,有效地解决了长期困扰机器学习领域的小样本、高维数、非线性、过学习、局部最优解等难题。
参考来源 - 基于支持向量机的入侵检测技术·2,447,543篇论文数据,部分数据来源于NoteExpress
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