The paper makes an analysis from several aspects, such as the problem classification of electric power energy quality, its reason and the improving measures.
文章从电能质量问题的分类、产生原因及改善电能质量问题的措施等几个方面进行了阐述。
The screening or classification of XML documents is a common problem, especially in XML middleware.
XML文档筛选或者分类是一个常见的问题，特别是在XML中间件中。
Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.
请注意这里提到的一个问题：在分类问题中，学习算法的目标是把给定输入中的错误最小化。
Note that this type of training will generally fit into the decision problem framework because the goal is not to produce a classification but to make decisions that maximize rewards.
需要注意的是，这类训练通常会置于决策问题的框架里，因为它的目标不是产生一个分类系统，而是做出最大回报的决定。
More generally, classification learning is appropriate for any problem where deducing a classification is useful and the classification is easy to determine.
更一般地说，对于那些有用的分类系统，和容易判断的分类系统，分类学习都适用。
A domain is a group or classification of things found in the larger problem domain.
域是对更大的问题域的一组分类。
The classification problem is then to find a good predictor for the class y of any sample of the same distribution (not necessarily from the training set) given only an observation [6]:338.
所谓的分类问题就是指对于相同分布的样本x（可以是训练集以外的样本），都能预知其所属的类。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
One method of managing the texts efficiently is to classify them, namely, the problem of text Classification.
对文本进行有效管理的方法之一，就是将它们进行系统地分类，即文本自动分类问题。
The emphasis and difficulty lie in how to extract characteristic of signal efficiently, that is, the problem of seeking classification criteria.
其重点与难点在于如何有效的提取信号中的特征量，即分类标准的找寻问题。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
Vegetation classification is an important part of vegetation research, which is also the most complex problem in that field.
植被分类是植被研究的重要组成部分，亦是植被研究中最复杂的问题之一。
The proposition and classification of propositional forms are a very complicated problem.
命题及命题形式的分类是一个相当复杂的问题。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
The first chapter is introduction, mainly discussed the fingerprint identification technology and summarized the problem of the fingerprint classification and the fingerprint thinning.
全文共分四章，第一章是绪论部分，主要是指纹识别技术介绍和指纹分类、指纹细化综述。
The classification of coastal dunes is the most important basic problem in the research on the landscape of the wind drift sand in coastal region.
海岸沙丘分类一直是海岸风沙地貌研究的重要基础问题之一。
How to define training sample size and therefore select classifiers is a problem to solve in actual classification considering the cost of acquisition of samples.
考虑到样本获取的代价性，如何根据训练样本的大小来选择有效分类器是实际分类中需要解决的问题。
This method not only preserves the edge of the image, avoids the problem of edge blurring in image classification, but also is effective in region division.
该方法既保留了图象的边缘，避免了以往图象分类中出现的边缘模糊问题，又有效地对图象进行了区域划分。
First of all, starting from the vehicle route problem, we introduce its definition, classification, the variable, and some other relevant situations.
首先，从车辆路径问题入手，介绍它的定义，分类，变量，以及其他一些相关情况。
Word classification is a major and pivotal problem in the areas of linguistic and nature language processing.
词的分类问题在语言学和自然语言处理研究中占有相当关键的位置。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
Through this approach, we solved the problem of generating too many rules that make the classification model complex.
该方法解决了传统算法产生规则太多，分类模型难以理解的问题。
Situation assessment is a dynamic classification problem of multiple hypotheses.
态势估计可归为一个多假设动态分类问题。
The classification method USES decomposition strategy to decompose initial problem into a series of two-class classification problems that reduces training scale and enhances training speed.
该方法采用分解策略，将原问题分解为一系列两类分类问题，降低了训练规模，提高了训练速度。
This paper presented the definition, geometric meaning, and recent research development of packet classification problem.
阐述了互联网络中报文分类问题的定义、几何意义和最新研究进展。
The problem of flaw classification in ultrasonic testing has not been solved so far.
超声检测技术中，缺陷的定性分类这一技术难题至今尚未得以彻底解决。
With the larger and larger amount of data, it becomes a challenging problem to find an efficiency classification algorithm that adapts to large database.
随着数据库中数据量越来越大，建立高效的、适用于大型数据库系统的分类算法已成为数据挖掘的一个挑战性问题。
To solve the problem of automatic classification for ultrasound placenta images, we put forward an algorithm based on adaptive multiple neural networks.
针对胎盘超声图像自动分级这一临床应用问题，提出一种基于自适应多神经网络的分级算法。
Support vector machines (SVMs) which suit to classification problem for tiny samples is designed for different shot types through the features extracted by the method.
利用所提出的特征，采用适合小样本分类问题的支持向量机(SVM)对足球视频镜头分类。
To define the part cluster reference patterns is the key in part classification system. The problem has been solved successfully by using fuzzy cluster analysis.
确定零件组的参考模式是零件分类系统的关键问题。采用模糊聚类分析法，解决了这一难题。
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