Examples of using 未标记 in Chinese and their translations into English
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Political
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Ecclesiastic
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Programming
这个想法类似于单词dropout，但是可以利用未标记的数据来使模型更加稳健。
The idea is similar to word dropout but allows leveraging unlabelled data to make the model more robust.研究表明，同时使用标记和未标记数据实际上提供了最佳的学习长期结果。
Research has shown that the use of both labelled and unlabeled data actually offers the best long term results for learning.每个类含有较少的标记样例，但却有很大的未标记图像集，可以用作非监督训练。
There are also fewer labeled examples per class, but the set has a large collection of unlabeled images that can be used for unsupervised training.Google还发布了经过预训练的通用BERT模型，该模型已针对包括Wikipedia在内的大量未标记文本进行了训练。
Google has also released pretrained general-purpose BERT models that have been trained on a large corpus of unlabelled text including Wikipedia.分类：样本属于两个或更多类，我们想从已经标记的数据中学习如何预测未标记数据的类别。
Classification: Samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data.年，伊利诺伊大学的研究人员在大学校园内留下了297个未标记的USB闪存盘，看看会发生什么。
Introduction In 2016, researchers from the University of Illinois left 297 unlabelled USB flash drives around the university campus to see what would happen.因此与标签处理相关的成本可能使得完全标注的训练集不可行，而获取未标记的数据相对便宜。
The cost associated with the labeling process thus may render large, fully labeled training sets infeasible, whereas acquisition of unlabeled data is relatively inexpensive.在此框架下，需要一个机器学习系统来发现未标记数据中的隐藏结构。
In this framework, a machine learning system is required to discover hidden structure within unlabelled data.例如，社交媒体应用程序（如Twitter、Instagram和Snapchat）都有大量未标记的数据。
For example, social media applications, such as Twitter, Instagram and SnapChat, all have large amounts of unlabeled data.使用来自三种不同真实世界任务的文本获得的实验结果表明，使用未标记的数据可将分类错误减少多达30％。
Experimental results, obtained using text from three different real-world tasks, show that the use of unlabeled data reduces classification error by up to 30%.因此与标签处理相关的成本可能使得完全标注的训练集不可行，而获取未标记的数据相对便宜。
The cost associated with the labeling process thus may render a fully labeled training set infeasible, whereas acquisition of unlabeled data is relatively inexpensive.因此与标签处理相关的成本可能使得完全标注的训练集不可行，而获取未标记的数据相对便宜。
The cost associated with the labeling process thus may render a labeled training set infeasible, whereas acquisition of unlabeled data is inexpensive.将未标记为dynamic的类视为密封的，这意味着无法向该类的实例添加属性。
Classes that are not marked as dynamic 然后刻录机将读取这些标记，检查标记区域的反射强度与未标记区域的反射强度的对比情况。
The burner will then read over these 通过目前的设置，使用100个标签样本和47000个未标记的样本，分类误差约为3％。
With the current setting, the classification loss is about 3% using 100 labeled samples and 47,000 unlabeled ones.在一些国家办事处，没有详细的资产存货清单，资产并未标记独特的资产识别号码。
In some country offices there 现有哪些国家措施可以防止制造、储存、转让和持有未标记或未适当标记的：.
What national measures exist to prevent the manufacture, stockpiling, transfer and possession of unmarked or inadequately marked.训练具有半监督学习的分类器(分类器从标记和未标记的数据中学习…，并且与GAN同时从完全虚构的数据中学习).
Train a classifier with semi-supervised learning(where the classifier learns from both labeled and unlabeled data… and with GANs, also learns from completely imaginary data).视频、未标记的文字和语音现在都可以由能根据上下文进行推断的系统进行分析，从而使得其见解更加准确，且更有价值。
Videos, unlabeled text, and voice are all being analysed by systems that can now infer context, making insights more accurate and valuable.ImageNet花费了数年，数千小时来创建对所有任务有用的表示，而我们通常只需要每个域的未标记数据来创建域不变的表示。
ImageNet has taken years and thousands of hours to create, while we typically only need unlabelled data of each domain for creating domain-invariant representations.
