用随机特征进行不可知核学习的最佳融合

概括

随机特征 (RFs) 方法提供理论上的保证,但通常认为目标函数位于内核空间内. 这项研究证明,即使在内核空间之外,RF也可以实现统计最佳性,特别是在数据依赖的抽样中.

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