results the optimum extracting condition of paeonol was as follows: moutan bark coarse powder, adding nacl 10 g, warmly dipping 1 h, collecting twelve times amount of distillation liquid.

result: the test showed that the interfering reaction could be eliminated when erigerontis injection was diluted in twelve times.

结果：干扰实验表明，灯盏细辛注射液稀释12倍可消除干扰。

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the peaks of pressure fluctuation are seven to twelve times of root-mean-square of pressure fluctuation.

脉动压力峰值约为七至十二倍的脉动压力均方根值。

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the selection procedure was repeated twelve times and the final products were cloned and sequenced.

筛选过程重复了12次后，对最后得到的产物进行克隆和测序。

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consulate general of the republic of chile in shanghai

智利共和国驻上海总领事馆

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in this paper, we present an ear recognition method using pidc and binary tree svm classification.

提出了一种基于PIDC和二叉决策树SVM的人耳识别方法。

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ear recognition based on pidc and binary tree svm classification

基于PIDC和二叉决策树SVM的人耳识别

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the principle of the binary determined classification of the gold deposits is that the rock type, in which the gold deposits occurred, as the first foundation, and the metallogenic temperature as the second one.

对本区金矿的成因类型二重限定性分类方案的原则是以Au所赋存的岩石类型（热液岩或蚀变岩）为第一依据，成矿温度作为第二依据。

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a binary diagnostic classification was made by six radiologists with different levels of experience on the same scans and information that had been previously analysed with svm.

并由工作经验和水平各不相同的六位神经影像学专家就SVM分析病例的相关影像给出二元的诊断意见。

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appropriate binary class classification svm is structured, with which experiments are carried out to recognize electrical motor bearing faults and the faults under noises.

构建合适的二类分类支持向量机，对电机轴承故障模式进行识别实验，并对有噪声干扰的故障样本进行模式识别实验。

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on the basis of binary class classification, multi-class classification algorithm is studied and applied to multiple fault diagnosis of mechanical agitated ventilation fermenter.

在二类分类算法基础上，研究支持向量机多类故障分类算法，并应用于机械搅拌式通风发酵罐多故障诊断。

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research on automatically generation of binary decision classification tree based on spectral information

基于遥感影像光谱信息的二叉决策分类树自动生成方法研究

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on the other hand, unbalanced binary classification dataset is another hot topic in machine learning field, especially in pattern recognition. it is also a great challenge to traditional classification problem. generally, it is the less examples class that draws our more attention.

另一方面，不平衡数据集的分类问题是机器学习尤其是模式识别领域中新的研究热点，是对传统分类方法的重大挑战。

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in the binary classification of the verb, the literal class of verb is usually found to be visible, touchable, and concrete. on the contrary, the metaphor class is abstract concept which is more difficult to understand.

在动词的二值分类中，动词的字面类一般是一些看得见、摸得着的、具体的物质；相反，词语的隐喻类大多是比较难以理解的、抽象的概念和定义。

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here, only linear kernel can be employed. one-class svm ( svnd) could not get good detection accuracy if the linear kernel is used. therefore, we also exploit sparse svm for binary classification problem in our experiments.

由于该方法只能采用线性核，而且用1类分类方法得到的检测结果不理想，因此我们用了两分类的稀疏支持向量机来进行检测。

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the ratio of right predictive number of positive sample to wrong predictive number of positive sample is used as the fitness of the improved genetic algorithm, because the positive sample is dramatically small with high unbalanced distribution in practical binary classification.

针对现实的二值分类中正向样本数极少且分布不平衡的特点，提出利用正确正向分类结果与错误正向分类结果的比值作为遗传算法的适应度函数。

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ordinal classification and credit rank assessment of enterprise the embedded space approach maps an ordinal classification problem to a standard binary classification, exploring the inherent structure within the pattern and without largely increasing the size of the dataset;

有序分类与企业信用评级模型内置空间法将分类变量之间的有序信息嵌入输入向量的扩展位，使得有序分类问题转化为标准的二类分类问题；

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support vector machines ( svm) is invented from binary classification problem and it is difficult to be used directly in analog circuit faults diagnosis because of multi-fault modes and overlapped recognition areas.

支持向量机（SVM）最初源于两种分类问题，用于存在较多故障模式的模拟电路诊断问题，易造成识别重叠区域。

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support vector machines ( svm) is a well known classifier of this kind. it has been successfully used in binary classification, multi-classification, and more generally the hierarchical classification.

以大边际原理为基础的支持向量机（SVM）已成功的应用于二分类，多分类，和更一般的层次化分类中。

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due to the svm method was put forward for the binary classification problem at first, how to expand binary classification to multi-class classification is classified as an important problem of support vector machine research.

由于支持向量机方法最初是针对二分类问题提出的，如何将二分类方法扩展到多分类领域是支持向量机研究的一个重要方向。

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traditional support vector machine is developed for binary classification problems, while for practical problems such as data mining and text categorization that need to deal with huge and mufti-category data.

传统支持向量机是针对两类分类问题，而在实际应用中，如数据挖掘、文本分类等等，需要处理的数据是海量和多类别的。

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