Subspace information criterion is a new criterion for model selection, it gives an unbiased estimate for the generalization error under some assumptions.

指出子空间信息准则是模型选择的一种新准则，它在一些假设条件下，给出推广误差的一种无偏估计。

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Unbiased estimation of flow size, the upper bound of relative error and the time and space complexity are deduced theoretically.

理论上给出了算法的流大小的无偏估计，相对误差的上界以及时间和空间复杂度。

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