然而，目前国内外有关协方差矩阵正定性的研究结果并不多，并且大多是集中在连续型样本协方差矩阵方面。

However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.

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研究结果表明，在样本分布和量化级数不变时，泛化均方差和学习均方差是权调整率的非增函数。

Research results indicate that generalization ability and learning accuracy are the non decreasing function of weight adjusting ratio.

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分析当多元随机变量协方差阵正定时，各随机分量应满足的关系，并结合多项分布研究离散型与连续型样本协方差阵的不同。

And studying the difference of positive defined matrix of discrete and continuous sample by using of mal-distribution and the relationship among weights.

youdao

Covariance is--we'll call it--now we have two random variables, so cov... I'll just talk about it in a sample term.

协方差是...我们有两个随机变量,x和y的协方差是,从样本的角度来说

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