对事实错误的分类，应该以犯罪构成要件为标准。
Crime components are the criterion to sort up factual mistakes.
本文从错误分析理论着手，对错误的分类，错误的起因及其纠错策略进行探讨。
On the basis of analysis theories of errors, this paper discusses error classification, error cause and error correction strategy.
在我们需要设计一个企业系统架构时，作为知识主要来源的涉众甚至是错误的分类。
Stakeholders are even the wrong category to be used as a primary source of knowledge when we need to architect an enterprise system.
本文以这两种理论为依据，回顾了不同时期、不同学派对于错误的不同观点及错误的分类。
This thesis is based on two kinds of theory, it looks back different viewpoints that different schools have in different periods and error classification.
我们经常认为绘画需要天赋，但这种想法源于我们的错误分类——绘画主要是一种艺术形式，而不是一种学习工具。
We often think of drawing as something that takes inborn talent, but this kind of thinking stems from our misclassification of drawing as, primarily, an art form rather than a tool for learning.
虽然可能会出现不正确的分类，但可接受的错误百分比由模型创建者决定。
While some incorrect classifications can be expected, it's up to the model creator to determine what is an acceptable percentage of errors.
仔细研究此输出，您可以查找文档并分析它分类错误的原因。
Digging into this output, you can look up document and examine it for clues as to why it might have been incorrectly classified.
当前的医学分类是“错误的”。
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.
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.
很显然，只对错误的原因进行分类并不一定非常有用，而还应研究如何加以避免以及出现时如何恢复。
Obviously, just categorizing the causes of failure is not as useful as also examining how to avoid them and how to recover when one is encountered.
资源分类是定义一个组织供应的一个庞大部分；然而，分类的措施会对限制和错误具有影响。
Resource classification is a large part of defining an organization's supply; however, the act of classifying imposes limitations and inaccuracies.
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.
在系统中创建额外的规则有助于更正错误分类的案例。
The creation of extra rules in the system helps to correct wrongly classified cases.
奥巴马不仅把他自己坚定归类于这一重要文化分类的“错误”一侧，还暗指“普通百姓”因为受到了“错误常识”的影响所以不爱戴他。
Mr Obama not only put himself firmly on the “wrong” side of this great cultural divide; he implied that “ordinary Americans” are the victims of “false consciousness” for not falling in love with him.
如果现在有人认为，生物学就是整理分类，那么，他将被证明是错误的。
If anyone now thinks that biology is sorted, they are going to be proved wrong too.
我使用两个主要的度量值来分类AIX系统上的磁盘错误：影响和持续时间。
I use two main areas to categorize disk errors on AIX systems: impact and duration.
可以在系统中创建额外的规则来解决错误分类的案例。
The creation of extra rules in the system is to cater for the wrongly classified cases.
如果在构建文档中遇到了任何的错误，一个问题(在“文档”分类中)连同任何被识别的测试缺陷被提交到缺陷数据库中。
If any errors were encountered in the build documentation, an issue (in the "documentation" category) was raised in the defect database along with any identified test defects.
该网站授予良好的网页组及优秀的资源，适用于各个水平的开发人员，分类包括：初学者，浏览器解析的错误，简评CSS的书籍。
The site is well-organized and a wonderful resource for any level of expertise. There's a category for beginners, browser bugs, and short reviews of CSS books.
混合矩阵可以描述各类别有多少正确分类的结果和错误分类的结果。
A confusion matrix describes how many results were correctly classified and how many were incorrectly classified for each of the categories.
是未分类错误的主要代码。
作者承认，这项研究受到了的追溯设计，可能的错误分类，和潜在的回忆偏差的限制。
The authors acknowledged that the study was limited by its retrospective design, possible misclassification, and potential recall bias.
本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。
Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.
另外，许多分类错误是由SAR图像的像素点类别混淆和相干斑噪声干扰引起的。
Besides, many classification errors are caused by mixed pixels and speckle noise of the SAR image.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.
表示的是指示发生了未分类错误的事件代码。
Represents the event code indicating that an unclassified error occurred.
在对错误进行分类后得到的结论是：错误的主要来源是语间错误；
After having categorized the errors, the conclusion can be drawn that the majority source of the errors is the interlingual transfer.
我们将你的钱给了错误的人，而且我们将这个已经查别分类出来的。
We sent your money to the wrong person and we are sorting this out.
我们将你的钱给了错误的人，而且我们将这个已经查别分类出来的。
We sent your money to the wrong person and we are sorting this out.
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