查询词典 classification statistic

Basic principles of cataloging and classification with emphasis on Anglo-American Cataloging Rules, Dewey Decimal Classification, Library of Congress Classification and Library of Congress Subject Headings.

讲授西文图书分类、目的原理及大纲，以英美编目规则、威十进分类法、国国会图书馆分类法、尔氏主题标目及美国国会图书馆标题为讲授及习作重点。

The larger the weight of an attribute was, the more it would make the contribution to classification. on the contrary, it would reduce the effect of classification. the new classification algorithm and the cloud classifier were applied to classify the radiance profiles as cumulonimbus, cirrus clouds, or cirrostratus clouds.

采用云模型建立训练集的各属性模型，分类模型由属性模型集成得到，属性权重根据svm权重向量得到，属性权重越大，其对分类的贡献越大；反之，越小。

The set of values of the test statistic for which the test rejects the null is the rejection region, and the values of the test statistic for which it does not reject the null is the acceptance region.

假设检验中，使得零假设被拒绝的检验统计量的取值范围称为拒绝域，使得零假设不能被拒绝的检验统计量的取值范围成为接受域。

According to the statistic model of piezometric level, model of piezometric level monitoring on the basis of support vector machines is founded. Comparing with traditional statistic model, the new model is more accurate and has better extension forecasting capability.

此后，针对统计模型的不足之处，引入了支持向量机方法的相关理论，建立了基于支持向量机方法的测压管水位监测预报模型，与统计模型相比，结果拟合精度更高，预测趋势更加符合实际情况。

Provide information according to government of Chinese ox stationmaster, this statistic will not withhold any data, namely 23 days rise this month, it is test period to 28 days, after the test is over, undertake canzonet is rectified, the likelihood will undertake publicity be used formally on November 1, and Chinese ox stationmaster is in charge of person, bovine station statistic will adopt permanent and free form to offer use!

根据中国牛站长官方提供信息，这次统计将不保留任何数据，也就是本月23日起，至28日为测试期，测试完后，进行小调整，可能11月1日进行公开正式使用，并且中国牛站长负责人称，牛站统计将采取永久免费形式提供使用！

The paper consists of three parts. First, we give the calculation for every order central moment for the Logistic population, mean vector and covariance matrix of the order statistic of random sample from the Logistic population, and means of several special functions for the order statistic of random sample from the Logistic population. Secondly, we discuss the parameter estimation for the Logistic population. Finally, we solve the question about the goodness-of -fit test for the Logistic population.

研究的主要内容分三部分：第一部分是关于Logistic总体各阶中心矩、样本次序统计量期望向量与协方差阵及若干个特殊的样本次序统计量函数期望的计算问题；第二部分是关于Logistic总体分布参数的估计问题；第三部分是关于Logistic总体的拟合优度检验问题。

The asymptotic property of the modified supremum-type statistic and the integral-type statistic under the composite null hypothesis are derived.

对上界型检验统计量，研究了与之有关的一个极限性质；对积分型检验统计量，证明了其在复合零假设下的渐近分布。

In this paper, we use the convex function to form the order statistic and the linear rank statistic, and the asymptotic normality of the statistics are proved.

本文用凸函数构造了线性次序统计量和线性秩统计量，并证明了它们的渐近正态性。

About the problem of hypothesis testing for the problem of estimate interval,first of all,we set statistic and the distributions of the statistic.Fron this ,we derivate the methods of testing.

对于点估计问题，讨论了估计的优良性质；对于区间估计问题，讨论了估计的精度；关于参数的检验问题，首先建立检验用的统计量及其分布，由此导出检验的方法。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

For the head-teacher of the class said that I had seriously broken the school rules,which led me to a three-day suspend class.

为什么呢？因为我的班主任说我严重的违反了校规，于是让我停课三天。

Many of them believe that the conversion of thousands of working-class folk in England spared that nation from the mass carnage and the tyranny that came with the revolution in France.

他们之中有许多人相信，在英国数以千计的劳工阶级之悔改信主使英国免於遭受如法国大革命所造成的大屠杀和专制暴政。