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。
分类问题就更加无从谈起。
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.
词义消歧问题可以形式化为典型的分类问题。
The problem of word sense disambiguation can be formalized to be a typical classify problem.
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.
该方法适用于大规模及高维属性的数据分类问题。
The method is suitable for large scale and high dimension data classifying problem.
如何针对某个分类问题决定使用何种机器学习算法？
How do you know what machine learning algorithm to choose for your classification problem?
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.
城市规模等级结构的划分是一个多指标的分类问题。
The division of city hierarchical structure is a multi-index classification problem.
岩体质量评价问题可以认为是一个模式识别或分类问题。
The rock quality evaluation can be taken as a pattern recognition or classification problem.
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.
游戏分类问题，是继续研究中的基本问题，至今尚未完全解决。
The problem of classifying games, basic to further research, has not been completely solved.
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.
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.
距离正则图的分类问题一直是距离正则图研究中的一个重要的问题。
The classification of distance regular graphs is one of the most important problem at all.
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.
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.
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.
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