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

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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a new method of fault classification for mechanical system by means of support vector machine ( svm) is proposed and a multi-class svm classifier based on binary classification was developed.

提出了一种利用支持向量机（SVM）对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。

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similar to the logistic regression, the probit regression is a kind of generalized linear models, which can be used to solve binary classification problem.

probit回归是与logistic回归十分类似的广义线性模型，用于解决因变量的二分类问题。

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however, many practical problems are multi-classification ones. how to effectively extend binary classification to multi-classification is an ongoing research issue.

然而在解决实际问题中遇到的多为多分类问题，如何有效的将其推广到多类分类问题是一个正在研究的问题。

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the main results are as follows: ( 1) by binary classification methods, an engineering geology classification system has been established.

通过系统的研究主要取得了以下成果：（1）对现代深部岩溶采用二级分类方法建立了工程地质分类体系。

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the existence of noisy data and features makes the labels of the sample data uncertain in binary classification.

在实际的二分类问题中，由于噪声点或者噪声特征的存在使得样本的标签会出现不确定的情况。

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binary classification is a wildly studied topic in statistical learning theory, machine learning and artificial intelligence.

二分类问题是统计学习理论、机器学习以及人工智能中研究的一个重要问题。

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this method formulates object segmentation as a binary classification problem. it contains two stages.

该方法将对象分割形式化为一个图像像素的二分类问题。

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a multi-class classifier was developed based on binary classification.

以二值分类为基础，构建了基于支持向量机的多值分类器。

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a new algorithm for binary classification based on gp with probabilistic model is proposed.

分析了遗传规划在二类分类问题上的应用，提出了一种基于概率模型的遗传规划分类算法。

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they snacked about the charges.

他们因花费的事争吵不休。8.They snacked about the book.他们因书而争吵不休

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we each drank about a quart of water, snacked on some peanuts and pitched our tents.

我们每人喝了约一夸脱水，简单地吃了点花生，然后搭帐篷。

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