图1显示了用这种方法分析和分类问题的途径。
Figure 1 shows an approach for analyzing and classifying problems in this way.
例如一些分类问题。
态势估计可归为一个多假设动态分类问题。
Situation assessment is a dynamic classification problem of multiple hypotheses.
输出编码是解决多类别分类问题的一般性框架。
Output coding is a general framework for solving multiclass problems.
本论文将首先研究并联机构奇异位形的分类问题。
First, the classification of singularities of parallel mechanisms is studied.
论文将支持向量机引入到动态电能质量分类问题中。
This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.
燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
语言学习者的错误分类问题一直是语言教学界长期争论的焦点。
Error classification has long been the focus of controversy in the linguistic circles.
本文介绍一种方法，用于处理含有定性变量的样品的分类问题。
This paper is concerned with a method for dealing with the cluster for samples containing qualitative variables.
在统计学习理论中，尤其对于分类问题，VC维扮演着中心作用。
VC dimension plays a central role in the Statistical Learning Theory especially for classification problems.
本文研究在MATLAB环境下，利用感知器求解逻辑分类问题。
In this article we investigate logic classification problems that are solved using perceptrons on MATLAB condition.
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。
Word classification is a major and pivotal problem in the areas of linguistic and nature language processing.
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。
This paper presented the definition, geometric meaning, and recent research development of packet classification problem.
文章分析了垃圾的本质特征及垃圾功能转移的瓶颈——垃圾分类问题。
It expounds the essential earmark of garbage and the limitation of garbage function transformation:garbage classification.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对中文网页分类问题该文设计了一种新的基于代表样本动态生成的分类算法。
A new algorithm based on representative samples dynamical generation for Chinese Web page classification was proposed in this paper.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
其次在模糊分类问题中从推理机制和推理过程两个方面对这两种方法进行了比较。
And the paper compares them in the reasoning mechanism and reasoning process in the fuzzy classification problems.
实验和分析表明，这种方法简单可靠，对许多神经网络和模式分类问题效果明显。
The results of experiments and analyses show that the new approach is not only simpler and easier, but also is applicable to many neural networks and many classification problems.
结合组合式电脑茶叶拣梗机的模式分类问题，讨论了模式分类器智能化及实现策略。
The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.
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。
One method of managing the texts efficiently is to classify them, namely, the problem of text Classification.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
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。
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.
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。
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.
桩身完整性定量分析以及由此而来的完整性分类问题，划分标准在国内一直未能很好统一。
In China, standards have not been unified for quantitative analysis on pile body integrity and consequent type and classification of pile integrity.
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。
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.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
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