样本分布

It inherits merits of trondional AdaBoost algorithm, such as the high rate, speed of recognition, and etc. In order to solve the problem of overfit, which the classical AdaBoost algorithm brings, a weight-adjusting method based on the distribution of samples is brought forward.

它不仅继承了传统AdaBoost算法的识别率高、识别速度快等优点，针对AdaBoost算法的退化现象，根据样本在权重上的分布情况，对权重进行适当的调整，解决了经典AdaBoost算法中存在的退化现象。

Furthermore, 27 of 35 of the IGHV sequences (77%) had mutations, with similar distributions after stratification either below or above the median time between the collection of the prediagnostic blood sample and the subsequent CLL diagnosis.

此外，35个IGHV序列中有27个（77 ％）有突变，对诊断前血液样本收集和随后CLL诊断的中位时间进行分层，突变具有类似的分布。

The immune surveillance and pullorum quarantine have been conducted in layer flocks of a poultry breeding farm in Guizhou province.The negative infection rates of pullorum were 6.9%(2/29)、19.3%(6/31)and 0%(0/41)in three tested layer flocks.

自1990年以来，本学科组从贵州省5个地、17个大中型养鸡场和农村散养的鸡群中，采集1284份血清样本进行了家禽主要传染病的调查，结果表明，新城疫是我省分布最广，危害严重的家禽传染病。

If the collected study sample form practical project is reprehensive, precise, then select the right network calculate parameters; it is a feasible and accurate study method to forecast the fragment-size distribution by artificial neural network.

只要从工程实际中所收集的学习样本具有代表性、精确性，再正确选取网络结构计算参数，利用人工神经网络对中深孔台阶爆破块度分布预测是一种可行，准确的研究方法。

The main contributions of this thesis are as follows:(1)To address the problem of kernel parameterσselection and regulation of the decision boundary in SVDD algorithm,this thesis proposes a new kernel parameter optimization method based on the spheral distribution of samples in kernel space and regulation of the decision boundary method based on KPCA(Kernel Principal Component Analysis).

本论文主要以支持向量数据描述(Support Vector Data Description，SVDD)与随机森林(Random Forests，RF)模式识别工具为基础，对流程工业在线故障诊断的若干问题进行研究，其具体内容如下：(1)针对SVDD的核参数σ优化及其决策边界规整问题，提出了基于核样本球形分布的核参数优化方法与基于核主元分析(Kernel Principal ComponentAnalysis，KPCA)的SVDD决策边界规整方法。

By doing so, the effect of training data pollution in STAP is mitigated.

另一种方法是根据已知的雷达系统参数计算出近程杂波的距离多普勒二维分布，在STAP处理时将包含近程杂波的距离单元剔除使之不参与协方差矩阵的统计，这样就减少了样本污染对STAP的影响。

To settle the problem, this article brings about a hybrid algorithm by combining the mean shift and the particle filter tracking technique on the basis of the color histogram distribution. By adopting the strategy that the number of particles is adaptively determined, it amalgamates the virtues of the two techniques. It reduces the computational cost and ensures the performance simultaneously.

该文基于颜色直方图分布，引入自适应选择粒子样本数的采样策略，有效地融合传统Mean shift算法的简单快速和粒子滤波跟踪算法的抗遮挡的优点，在保证跟踪效果的同时减少了跟踪的总体时间花费，有效提高了设计的跟踪系统的实时性。

Finally, I use CreditRisk+ to analyze the credit risk of one branch of a bank.

目前样本银行的信贷风险损失分布的区域差异较为显著。

The results show that the difference between upper magnitude threshold Mt used in the calculation and the maximum magnitude extrapolated from the linear relation of log N-M has an influence on the distribution of Y.

结果表明，计算样本的震级上限Mt 相对于logN-M关系中拟合线性外推最大震级MT的变化对Y的异常分布有一定影响，其影响随地震样本量从小到大而明显减小。

We also compute the critical curves and caustics of lens samples, the results show that they can fit the theoretic curves very well.

计算结果表明此算法能够在很高的精度上构建引力透镜模拟样本的面密度分布轮廓，由面密度计算出来的透镜的临界曲线和焦散曲线也能较好地和理论曲线吻合，结果是令人满意的。

And Pharaoh spoke to Joseph, saying, Your father and your brothers have come to you.

47：5 法老对约瑟说，你父亲和你弟兄们到你这里来了。

Additionally, the approximate flattening of surface strip using lines linking midpoints on perpendicular lines between geodesic curves and the unconditional extreme value method are discussed.

提出了用测地线方程、曲面上两点间短程线来计算膜结构曲面测地线的方法，同时，采用测地线间垂线的中点连线和用无约束极值法进行空间条状曲面近似展开的分析。