M3网络是一种能够有效解决大规模复杂问题的分类器模型。
M3 network is an efficient classifier for solving large-scale complex problems.
本文讨论了电能质量问题的分类、产生原因、危害和解决方法。
The classification of power quality problems, their causing reasons, harm, and management methods are discussed in the paper.
本文提出一种基于黎曼度量的训练样本类不平衡问题的分类方法。
A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.
首先，探讨了冲击机械动力学问题的分类，从而提出了反演设计概念。
First, the classification of the mechanical impact dynamics problems is discussed, as a consequence inverse design is defined conceptually.
开发人员可以有效地调查和解决问题的分类，排序的优先次序和他们的特殊需求。
Developers can efficiently investigate and resolve problems that are categorized, prioritized and sorted to their specific needs.
为了提高多类问题的分类精度，提出最大边界模糊核超球(LMFKHB)算法。
In order to improve the classification accuracy of multiclass, an algorithm called Large Margin and Fuzzy Kernel Hyper-Ball (LMFKHB) was proposed.
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 paper makes an analysis from several aspects, such as the problem classification of electric power energy quality, its reason and the improving measures.
本文通过对这些妇女问题的分类分析，观照契诃夫的妇女观，再现其历史价值，并挖掘其现实意义。
The article, based on the classification and analysis of these issues, tries to examine Chekhov's views on women, reproduce the historic value and find out the practical significance.
本文给出了随机型优化问题的分类，并综述了离散参数和连续参数随机型优化问题中典型的求解算法。
This paper gives a simple classification of stochastic optimization problems, and then summarizes important algorithms for stochastic optimization in discrete and continuous parameters.
有一种视觉的，快节奏的训练经常关注在问题的分类上，而不是解决问题，这样的训练可以快速的建立直觉力。
Yet there is growing evidence that a certain kind of training - visual, fast-paced, often focused on classifying problems rather then solving them - can build intuition quickly.
当一个测试失败了，基于用例的方法可以迅速确定问题的分类和优先权，因为这个用例的整体重要性已经被建立。
When a test failure occurs, use case-based methods allow immediate categorization and prioritization of the problem, because the overall importance of the use case has already been established.
通过若干应用例子测试表明，该方法适用于具有多元动态相关特征问题的分类，在信息融合领域中有独到的用处。
By experiments, the method can be used as classifier when the multi-parameters are dynamic correlation, and it has special use in the field of information fusion.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
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.
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。
The screening or classification of XML documents is a common problem, especially in XML middleware.
有时候，急迫的问题是必须处理数据分类。
Sometimes, the pressing issue has to do with data categorization.
我试图解决的问题是确保我的数字分类器不会将非完全数识别为完全数。
What problem am I trying to solve? I need to make sure that my number classifier doesn't identify an imperfect number as perfect.
这些错误表明在我们的模型中出了问题，我们的模型正在错误地分类某些数据。
These errors indicate we have problems in our model, as the model is incorrectly classifying some of the data.
如果您把自己的问题进行分类，您会感觉自己少了很多麻烦。
If you lump your problems into categories, you will feel like you have less obstacles.
分类的重要问题之一是，人们根据自己的逻辑进行分类，会出现错误以及造成不同的分类。
One of the big issues with classification is that people make mistakes and arrive at different classifications based on their own logic.
随着服务被生产、分类和封装，一个首先需要考虑的问题就是消费能力。
As the service is produced, classified, and packaged, one of the foremost considerations must be consumability.
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.
生物学中分类思想的问题就是，进化不会像（分类规定）的那样进行。
The problem with categorical thinking in biology is that evolution does not work like that.
当然可以使用模式进行更丰富的分类，但这里的核心问题是说将特定的RDBMS表表示为XML 没有任何困难。
You could use schemas for richer typing, but the point is that there is no difficulty in representing a particular RDBMS table as XML.
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。
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.
这里的业务案例在于，仅当比简单地通过增添处理能力来解决问题更廉价的时候，才增建分类服务。
The business case here is to build out classes of service only when doing so is cheaper than simply throwing horsepower at the problem.
这样就避免了在不同系统中存在分类法的多个版本的问题，以及版本之间不同步的问题。
This prevents the problem of having multiple versions of the taxonomy in different systems and the versions getting out of synchronization.
这一有趣的概要有个问题：业务分类可能由于人们自我满足的需要而出现偏差。
The trouble with this colourful schema is that classifying businesses in this way can be self-fulfilling.
可依据导致问题的原因是已知还是未知，来对恢复场景进行分类。
Recovery scenarios can be categorized by whether the cause of the problem is known or unknown.
可依据导致问题的原因是已知还是未知，来对恢复场景进行分类。
Recovery scenarios can be categorized by whether the cause of the problem is known or unknown.
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