分类问题 in English translation

• classification problem
• classification problems
• classification issues
• classification problems

Examples of using 分类问题 in Chinese and their translations into English

朴素贝叶斯模型可用于解决大规模分类问题，完整的训练集可能不适合记忆。
Naive Bayes models can be used to tackle large scale classification problems for which the full training set might not fit in memory.

对于回归问题，是由连续变量组成的，而对于分类问题，由类别标签标识。
For regression problems, t will comprise continuous variables, whereas for classification problems t will represent class labels.

如果你的域包含多个SPF记录，则你将面临电子邮件错误以及送达和垃圾邮件分类问题。
If your domain has more than one SPF record, you will get email errors, as well as delivery and spam classification issues.

也就是说非常简单的问题，例如，分类问题中可以被一行整齐地分隔开的两个类。
This means very simple problems where, say, the two classes in a classification problem can be neatly separated by a line.

分类问题：其中要预测的变量是“是/否”的答案（例如，预测某个设备是否会故障）.
Classification problems, where the variable to predict is a"Yes/No" answer(for example, predict whether a certain piece of equipment will experience a mechanical failure).

全会授权钻石专家工作组与世界海关组织统一分类制度委员会接触，推动分类问题，并制作一个图片表。
The plenary mandated the WGDE to approach the Harmonized System Committee of the World Customs Organization to advance classification issues and prepare a photo table.

对于鸢尾花分类问题，该模型定义了萼片和花瓣测量与预测的鸢尾花物种之间的关系。
For the Iris classification problem, the model defines the relationship between the sepal and petal measurements and the predicted Iris species.

在二元（两类）分类问题中，选取k为奇数有助于避免两个分类平票的情形。
In binary(two class) classification problems, it is helpful to choose k to be an odd number as this avoids tied votes.

Iris分类问题是一个有监督学习(supervisedmachinelearning)的示例，模型需要从带有标签的样本中进行学习。
The Iris classification problem is an example of supervised machine learning: the model is trained from examples that contain labels.

它通常用于二进制分类问题(1或0，“是”或“否”)。
It's typically used for binary classification problems(1 or 0,“yes” or“no”).

不同于古典控制和分类问题，解决方案是复杂的，并且必须被发现和优化在多维空间。
Unlike classical control and classification problems, the solutions are complex and have to be discovered and optimized in multidimensional space.

现在，让我们看一下解决多标签分类问题的第二种方法。
Now, let us look at the second method to solve multi-label classification problem.

简而言之，有多个类别，但每个实例只分配一个，因此这些问题被称为多类分类问题。
In short, there are multiple categories but each instance is assigned only one, therefore such problems are known as multi-class classification problem.

最近，神经网络搜索（NAS）已经成功地识别出在大规模图像分类问题上超出人类设计的神经网络架构。
Recently, Neural Architecture Search(NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image classification problems.

当输出层是分类变量时，神经网络是解决分类问题的一种方法。
When the output layer is a categorical variable, then the neural network is a way to address classification problems.

只有两个类别的分类问题经常被称作两类问题或者二元分类问题。
A problem with two classes is often called a two-class or binary classification problem.

正如信中所说的那样，“法定方法”“避免了困扰最后一次联邦通信委员会的管辖权和分类问题。
The“statutory approach,” as the letter put it,“avoids the jurisdictional and classification problems that plagued the last FCC.”.

除此之外，你可以设计自己的方法来处理未定义的空间，但通常这些方法对大多数分类问题都可以。
Besides these, you can design your own methods for dealing with undefined space, but usually these methods would just do fine for most classification problems.

设立固定项目的标准和理由是费用分类问题的一个基本内容。
The criteria and rationale for establishing fixed lines are an integral to the cost classification issue.

通过分类热线一直在收到有关修订（和其他分类问题）的建议和评论。
Proposals and comments regarding the revisions(and other classifications issues) have been accepted through the Classifications Hotline on an ongoing basis.