It has long been recognized that the Structural Risk Minimization (SRM) principle based on the concept of VC-dimension provides an excellent means for complexity selection of a learning machine.
因此,对统计学习模型的复杂性给出评价与选择的准则,一直是一个核心问题。
It has long been recognized that the Structural Risk Minimization (SRM) principle based on the concept of VC-dimension provides an excellent means for complexity selection of a learning machine.
因此,对统计学习模型的复杂性给出评价与选择的准则,一直是一个核心问题。
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