CLASSIFIERS in Chinese translation

• 分类器
• 分级器

Examples of using Classifiers in English and their translations into Chinese

These can, however, be turned into multinomial classifiers by a variety of strategies.”.
然而，它们可以通过多种策略转化为多元分类。

Building the word-mapping requires a full pass over the dataset hence it is not possible to fit text classifiers in a strictly online manner.
构建字映射需要完全传递数据集，因此不可能以严格的在线方式适合文本分类。

箇 later merged with 介 because they were similar in pronunciation and meaning(both used as general classifiers).
随后，“箇”与“介”合并，因为它们具有相似的发音和含义（二者都用作通用分类词）。

The focus of this study is extracting and selecting relevant features, dimension reduction, and using suitable classifiers.
本研究的焦点是提取和选择的相关特征，降维，并使用合适的分类器。

There are separate classifiers for different classes of people, objects of different shapes and functions, clothes, foods, animals, etc.
对于不同类别的人，不同形状和功能的对象，衣服，食物，动物等，存在单独的分类器。

However, cure rates for high-risk patients remain at less than 50% emphasizing the need for need for better classifiers and treatments.
然而，高危患者的治愈率仍低于50％，强调需要更好的分类和治疗。

AI can use machine-learning classifiers(similar to those used to detect spam emails) to sniff out imperfections in manipulated video invisible to the human eye.
人工智能可以使用机器学习分类器(类似于用来检测垃圾邮件的分类器)来嗅出被人类肉眼看不到的视频操作中的缺陷。

Next, automated machinery such as disk screens and air classifiers separate the recyclates by weight, splitting lighter paper and plastic from heavier glass and metal.
随后，自动机械，如圆盘筛和空气分级器按重量分拣回收品，将较轻的纸张塑料从较重的玻璃金属中分拣出来。

In spite of their apparently over-simplified assumptions, naive Bayes classifiers have worked quite well in many real-world situations, famously document classification and spam filtering.
尽管他们显然过于简化的假设，但朴素贝叶斯分类器在许多现实世界的情况下都有很好的效果，有著名的文档分类和垃圾邮件过滤。

Naive Bayes classifiers are known to be fast and fairly accurate, despite their very simple(and often incorrect) assumptions about the data being completely independent.
NaiveBayes分类器为速度快和准确性高而著称，但其关于数据的简单（通常也是不正确的）假设是完全独立的。

In 2004, analysis of the Bayesian classification problem has shown that there are some theoretical reasons for the apparently unreasonable efficacy of naive Bayes classifiers.
年，一篇分析贝叶斯分类器问题的文章揭示了朴素贝叶斯分类器取得看上去不可思议的分类效果的若干理论上的原因。

While some classification algorithms naturally permit the use of more than two classes, others are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies.
一些分类算法自然地允许使用超过两类，另一些自然是二元分类算法；然而，它们可以通过多种策略转化为多元分类。

A special property is that they simultaneously minimize the empirical classification error and maximize the geometric margin; hence they are also known as maximum margin classifiers.
它们有一个特别的性质，就是可以同时最小化经验误差和最大化几何边缘区;因此它们也被称为最大间隔分类器。

The cif(for classifier) estimator instance is first fitted to the model;
上面创建的估计器实例clf首先适合于模型；.

The Atritor Dynamic Classifier Mill.
Atritor动态粉碎分级机.

Like C4.5, CART is a classifier.
像C4.5一样，CART是个分类器。

We fit the support vector classifier.
我们先从supportvectorclassifier谈起。

This model is called a classifier.
这个模型可以称为classifier。

Although the classifier is a hyperplane in the transformed feature space, it may be nonlinear in the original input space.
虽然分类器是变换后的特征空间中的超平面，但它在原始输入空间中可以是非线性的。

There is an exception: When you try to use a Support Vector Machine classifier, it automatically runs the OvO strategy.
特殊情况：当你尝试使用支持向量机分类器时，它会自动运行OvO策略。