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First, the concept emergence probability is assumed to be a random variable with a priori Beta distribution. Second, its priori parameters are designated by the distance-based similarity algorithm, calculated by Bayesian Estimation.

该算法首先假定概念出现概率是符合Beta分布的随机变量,然后基于语义距离的相似度算法计算先验参数,并根据统计样本计算该先验分布下基于最小风险的贝叶斯估计后验参数。

In this paper, the distribution curve and coefficient of group with sequenced character were employed to compare the medical expenditure distribution between two historical times in sampled areas.

本文运用有序特征群体分布曲线和系数比较分析了两个历史时点样本地区人群医疗费用的分布。

Statistic trains the histogram of example every to distributing, use at describing the probability distribution of person face and feature of impersonal face exterior, every histogram states coefficient of a group of small wave and they are in person face associated probability density of the position.

统计每个练习样本的直方图分布,用于描述人脸和非人脸外观特征的概率分布,每个直方图表示一组小波系数和它们在人脸中位置的联合概率密度。

According to the geometric sense of classification problem and starting from dataset, four determinant algorithms for rotundity distribution, cirque distribution, sphericity distribution and columniation distribution are proposed.

本文利用分类问题的几何意义直接从数据集出发,按照两类样本点之间的距离关系,分别给出SVM训练集呈圆形、环形、球状、柱状分布的测试算法,为基于数据分布的核选择方法提供了实现的基础。

Using assumed explained variable condition, applying the maximum entropy principle and with the condition probability distribution complying with that of sample data and prior distribution, the author finally estimates an optimal conditional probability density of the LGD.

利用假定的解释变量条件,应用最大熵原理,并要求所估计的条件概率分布一致于样本数据和先验分布,最终对违约损失率估计出最佳的条件概率密度。

The exponential distribution family and minimum error theory are brought to bear combined with fact.

针对小样本和小失效数给系统可靠性分析带来的难度,以及可靠性分布函数和参数估计的不确定性和模糊性,运用指数分布族、最小误差原理等相关理论,结合实际工程经验,对这类系统的可靠性分析提出了一种新的方法。

Assuming all samples coming from populations with the same standard deviation σ, the accuracy of estimating σ from observations of different parts influences control limits of target control chart. The dissertation points out shortcoming of traditional standard deviation estimates and proposes a unbiased estimate of σ which results in that the variation of the estimate is minimums and the control limits is set more reliably.

假设不同工件的样本标准方差均来自于同一分布,则以不同工件的样本标准方差对母体标准方差的估计的精确性直接影响了目标控制图控制界限计算的可靠性,本文分析了目标控制图传统的两种母体方差估计方法的合理性或稳健性较差的特点,给出了一种对σ无偏估计的优良方法,从而使这一方差估计量〓的散差最小,则依此最小方差的无偏估计量所得到的控制界限更为精确,更为可靠。

This model uses nonlinear mapping to map samples into high dimensional feature space, and compares the distribution of each type of samples in the high dimensional space. So that a binary decision tree is constructed through clustering, which can make the more separable classes classified at the upper node of the binary decision tree. The model overcomes the accumulation of misclassification and avoids the condition of impartibility efficiently. At the same time, each node of decision tree uses binary least squares wavelet support vector machine to obtain higher generalization ability.

该模型利用非线性映射将样本投影到高维特征空间,比较每类样本在高维空间的分布情况,进行聚类构造出一个二叉决策树,使容易区分的类别从根节点逐层分类出来,有效克服了错分积累和避免不可分情况;同时,各个节点采用二值最小二乘小波支持向量机,以获得较高的泛化能力。

We adopted Swales'(1990) CARS model and Nwogu's (1997) 5-step procedure in manually tagging the moves of the RAs in the two corpora and employed Salager-Meyer's (1992) analysis method and Kuo's (1999) method respectively in examining the verb tenses and the first personal pronouns.

我们采用Salager-Meyer的方法和Kuo的方法对研究样本中出现的动词时态和第一人称代词进行频数和分布的统计后,又运用Biber的方法对两个语料库中所有研究样本中动词时态和第一人称代词的频数进行标准化。

On the other hand, train samples distributed widely by selecting it after clustering and meet the integrity criterion at the same.

并且这样选择的训练样本会在图像上有更广泛的分布,又满足了训练样本所需的完整性原则。

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