组合分类结果受训练样本分布的影响取决于子分类器的稳定性。
It depends on the stability of sub-classification that whether the results of combined classification are affected by the distribution of training samples.
当子分类器均受训练样本分布影响较小，组合结果也具有较好的稳定性。
If the distribution of training samples only had little influence on the sub-classification, the combined classifiers would have stable performances.
针对现有的无监督异常检测技术的不足之处，提出了一种基于样本分布异常数据实例度量方法。
Aiming at the weaknesses of current unsupervised anomaly detection techniques, a measurement approach about samples distribution of anomaly data is proposed.
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.
尤其是婚姻、年龄和职位对任何因子均没有产生显著性差异，这可能与样本分布不均有一定的关系。
Especially the marriage, age and job are not any significant differences, which may be related to the distribution of samples.
论文分析了基于熵的离散化方法的不足，从估计训练样本的概率分布的角度出发，提出基于样本分布与熵相结合的处理数值型属性的方法。
By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.
利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。
A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.
利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。
A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.
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