利用随机路径核函数来定义主干图核函数并对不同阶的主干图给予不同的权重。
It USES random path kernel function to define the main graph kernel functions and gives different weights to backbone graph which have different order.
探讨了在随机向量的一阶矩和二阶矩条件下，寻找补偿函数的期望值的一个上界的问题。
This paper inquires into the problem of finding an upper bound for the expectation of recourse function when only first and second moment constraints are available.
阐述了递阶辨识原理，提出了传递函数阵模型参数的递阶随机梯度(hsg)辨识方法。
The hierarchical identification principle is stated, and the hierarchical stochastic gradient (HSG) algorithm for the transfer function matrix (TFM) model for multivariable systems is presented.
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