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。
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。
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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