What is the translation of " SEMI-SUPERVISED " in Chinese?

• 半监督

Examples of using Semi-supervised in English and their translations into Chinese

Learning can be supervised, semi-supervised or unsupervised.
学习可以是监督，半监督或无监督。

In semi-supervised and unsupervised learning, unlabeled examples are used during training.
在半监督式和非监督式学习中，无标签样本在训练期间被使用。

A little labeling goes a long way: Semi-supervised learning in infancy.
小标签有很长的路要走:婴儿期的半监督学习。

Because the machine is not fully supervised in this case, we say the machine is semi-supervised.
因为在这种情况下机器没有被完全监督，所以我们说机器是半监督的。

As a result, there is active research on semi-supervised training and building proper confidence measure for the recognizers.
因此，就有了对半监督培训的积极研究，并为识别者建立了适当程度的信心。

Such combinations of unsupervised and supervised learning are often called semi-supervised learning.
这样非监督式与监督式的组合也经常叫做半监督式学习。

Therefore, this paper proposes a novel semi-supervised learning paradigm that can handle both label insufficiency and label inaccuracy.
因此，本文提出了一种新的半监督学习范式可以处理标签不足和标签不准确。

In this post you learned the difference between supervised, unsupervised and semi-supervised learning.
从本文你可以了解到监督式,非监督式和半监督式学习的不同之处。

(These semi-supervised learning techniques reduced the amount of labeled data needed to achieve the same accuracy improvement by 40 times!).
这些半监督式学习技术将达到同等精确度所需的标记数据量减少了40倍。

To address it, many efforts have been made on training complex models with small data in an unsupervised and semi-supervised fashion.
为了解决这些挑战，以无监督和半监督的方式训练带有小数据的复杂模型方面已经做出了很多努力。

In the Semi-supervised condition, pair only the first two exemplars in each order with labeling phrases but the rest with non-labeling phrases.
在半监督条件下,仅将每个订单中的前两个样本与标记短语配对,其余的与非标记短语配对。

Another direction that is related to transfer learning and semi-supervised learning is to enable models to work better with limited amounts of data.
与转移学习和半监督学习有关的另一个方向是使模型能够在有限的数据量下更好地工作。

Semi-supervised learning(with minimal tags), or reinforcement learning(by sequential decision making) represent approaches between these extremes.
半监督学习（使用最少的标注）或强化学习（通过连续决策）代表着这些极端之间的方法。

Our system architecture adds two modifications to the Neural Machine Translation(NMT) Encoder-Decoder framework to enable Semi-Supervised Universal NMT.
该系统架构对神经机器翻译（NMT）的编码器-解码器框架新增了两个修改，以实现半监督通用神经机器翻译。

Semi-supervised learning algorithms develop mathematical models from incomplete training data, where a portion of the sample input doesn't have labels.
半监督学习算法从不完整的训练数据开发数学模型，而且其中一部分样本输入没有标签。

There is also a fourth type of machine learning methodology called semi-supervised learning, which is essentially a combination of supervised and unsupervised learning.
还有第四种类型的机器学习，成为半监督学习，其本质上是监督学习和无监督学习的组合。

Semi-supervised learning: the computer is given only an incomplete training signal: a training set with some(often many) of the target outputs missing.
半监督学习：计算机仅给出不完整的训练信号：训练集中缺少一些（通常很多）目标输出。

Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
本书使用Python中的Keras和PyTorch，重点介绍如何将各种深度学习模型应用于半监督和非监督异常检测任务。

Semi-supervised learning and one-shot learning will reduce the amount of data needed to train several kinds of models and make AI use more widespread.
半监督学习和一次性学习将减少训练多种模型时所需的数据量，并使AI的应用范围更加广泛。

Anthem's baseline of semi-supervised machine learning capabilities teach the system how to break down problems, organize them, and determine the best response.
Anthem的半监督机器学习能力教会几桶如何分解问题，组织它们，并确定最佳响应。

Semi-supervised learning is also closely related to active learning techniques where a human is directed to selectively label ambiguous data points.
半监督学习还与主动学习技术密切相关，在主动学习技术中，人们被引导至选择性标记的模糊数据点。

Anthem's baseline of semi-supervised machine learning capabilities teach the system how to break down problems, organize them, and determine the best response.
Anthem半监督机器学习能力基准教导系统如何打破问题、组织它们并确定最佳反应。

Semi-supervised learning falls between unsupervised learning(with no labeled training data) and supervised learning(with only labeled training data).
半监督学习属于无监督学习（没有任何标记的训练数据）和监督学习（完全标记的训练数据）之间。

Hot topic at the moment is semi-supervised learning methods in areas such as image classification where there are large datasets with very few labeled examples.
目前的一个热点话题是图像分类等领域的半监督学习，很少有标记的例子大型数据集的方法。

Semi-supervised learning can be referred to as transductive(inferring correct labels for the given data) or inductive(inferring the correct mapping from X to Y).
半监督学习可以被称为转导（推断给定数据的正确标签）或归纳（推断从X到Y的正确映射）。

Unlike unsupervised or semi-supervised learning algorithms, Retina analyzes images with a proprietary algorithm, requiring the operator to train the system using a set of images.
与无监督式或半监督式学习算法不同，Retina使用专有算法分析图像，需要操作员使用一组图像培训系统。

Semi-supervised learning falls between unsupervised learning(without any labeled training data) and supervised learning(with completely labeled training data).
半监督学习属于无监督学习（没有任何标记的训练数据）和监督学习（完全标记的训练数据）之间。

Semi-supervised learning falls between supervised learning(with totally labelled training data) and unsupervised learning(without any categorized training data).
半监督学习属于无监督学习（没有任何标记的训练数据）和监督学习（完全标记的训练数据）之间。

Semi-supervised learning cascades in the middle of unsupervised learning(without any labeled training data) and supervised learning(with completely labeled training data).
半监督学习属于无监督学习（没有任何标记的训练数据）和监督学习（完全标记的训练数据）之间。