In this paper, the bounds on the rate of uniform convergence of the learning processes on possibility space are discussed based on the classic Statistical learning Theory.

本文在经典统计学习理论的基础上，讨论了可能性空间上学习过程一致收敛速度的界。

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Finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.

最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。

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Pile foundation has many advantages, such as good stability, relatively small and uniform subsidence, small sedimentation rate and fast convergence, and high bearing capacity.

桩基础具有稳定性好、沉降量相对小且均匀、沉降速率小且收敛快、承载力高等优点。

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Pile foundation has many advantages, such as good stability, relatively small and uniform subsidence, small sedimentation rate and fast convergence, and high bearing capacity.

桩基础具有稳定性好、沉降量相对小且均匀、沉降速率小且收敛快、承载力高等优点。

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