What is the translation of " CLASSIFICATION PROBLEMS " in Chinese?

• 分类问题

Examples of using Classification problems in English and their translations into Chinese

Classification problems are very common in practice.
二分类的问题在实际中很常见。

However, it is mostly used in classification problems.
然而，业内主要用于分类问题。

Classification problems that distinguish among more than two classes.
区分两种以上类别的分类问题。

However, they are mostly used in classification problems.
然而，业内主要用于分类问题。

Similar classification problems exist in the case of motor vehicles and other types of equipment.
在机动车辆和其他种类的设备方面同样存在的类似的分类问题。

However, it is more widely used in classification problems in the industry.
然而，在业界常更广泛用于分类问题。

SVM has many advantages in solving small sample, high dimension, and nonlinear classification problems.
SVM在解决小样本、非线性及高纬度的分类问题中，有许多优势。

However, it is more widely used in classification problems in the industry.
但是，它在业内在分类问题上用的比较广泛。

When the output layer is a categorical variable, then the neural network is a way to address 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。

It can solve both regression and classification problems with large data sets.
它可以解决大数据集的回归和分类问题。

Logistic Regression is a classification algorithm traditionally limited to only two-class classification problems.
Logistic回归是一种分类算法，传统上，它仅限于只有两类的分类问题。

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

Decision trees: Decision tree is a type of supervised learning algorithm(having a pre-defined target variable) that is mostly used in classification problems.
决策树是一种监督学习算法（有一个预定义的目标变量）主要用于分类问题。

In binary(two class) classification problems, it is helpful to choose k to be an odd number as this avoids tied votes.
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。

Why is the cross-entropy the right distance to use for classification problems?
为什么交叉熵能正确的用于分类问题？?

Naive Bayes models can be used to tackle large scale classification problems for which the full training set might not fit in memory.
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。

Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?
我们需要数百个分类器来解决现实世界的分类难题吗？?

Unlike classical control and classification problems, the solutions are complex and must be discovered and optimized in multidimensional space.
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。

The“statutory approach,” as the letter put it,“avoids the jurisdictional and classification problems that plagued the last FCC.”.
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。

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).
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）.

For regression problems, this might be the mean output variable, for classification problems this might be the mode(or most common) class value.
对于回归问题，这可能是平均输出变量，对于分类问题，这可能是模式（或最常见）类值。

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.
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。

For regression problems, this might be the mean output variable, for classification problems this might be the mode(or most common) class value.
对于回归问题，这可能是平均输出值，对于分类问题，这可能是多数的(或最常见的)类值。

Recently, Neural Architecture Search(NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image classification problems.
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。

The Administration acknowledged that there were classification problems in IMIS and had requested enhancements thereto in order to be able to retrieve information more readily.
行政当局承认综管信系统有分类问题,已经要求加以改进以便能够更方便检索资料。

However, there are often cases, such as part-of-speech tagging, where we are interested in solving classification problems that are closely related to one another.
然而，有很多情况，如词性标注，我们感兴趣的是解决彼此密切相关的分类问题。

For some classification problems, models trained with multilingual word embeddings exhibit cross-lingual performance very close to the performance of a language-specific classifier.
对于一些分类问题，用多语言词嵌入训练的模型展现的跨语言性能非常接近于特定语言分类器的性能。

In addition to weather forecasts, the researchers see numerous possible applications such as solving classification problems in bioinformatics, image analysis, and medical diagnostics.
除天气预报外，研究还发现了许多可能的应用，例如解决生物信息学，图像分析和医学诊断中的分类问题。