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semi-supervised learning

  • 半监督学习：一种机器学习方法，它使用大量未标记的数据和少量标记的数据进行训练，以提高学习算法的性能。

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短语

semi-supervised learning literature survey 半监督学习

Graph-based semi-supervised learning 基于图的半监督学习

Applications of semi-supervised learning 半监督学习的应用

Semi-Supervised Learning with Ladder Network 利用梯形网络进行半监督式学习

Supervised & semi-supervised learning 监督和半监督学习

a semi-supervised learning model 半监督的学习模型

Semi-Supervised Active Learning 半监督主动学习

semi-supervised machine learning 半指导机器学习

Semi-supervised Sequence Learning 序列自编码器论文

 更多收起网络短语
  • 弱指导学习方法
  • 半监督学习 - 引用次数：8

    In addition, semi-supervised learning is brought in the classification design of CAD.

    3、将半监督学习引入到分类器设计中。

    参考来源 - 结合代价敏感与半监督学习的乳腺癌辅助诊断算法研究

·2,447,543篇论文数据，部分数据来源于NoteExpress

Semi-supervised learning

  • abstract: Semi-supervised learning is a class of machine learning techniques that make use of both labeled and unlabeled data for training - typically a small amount of labeled data with a large amount of unlabeled data. Semi-supervised learning falls between unsupervised learning (without any labeled training data) and supervised learning (with completely labeled training data).

以上来源于: WordNet

双语例句

  • Semi-Supervised Learning: Input data is a mixture of labelled and unlabelled examples.

    半监视学习：输入数据由带符号的和不带符号的组成。

    youdao

  • Semi-Supervised Learning: Input data is a mixture of labelled and unlabelled examples.

    无监督学习：输入数据不带标签或者没有一个已知的结果。

    youdao

  • Semi-Supervised Learning : Input data is a mixture of labelled and unlabelled examples.

    半监督学习： 输入数据由带标记的和不带标记的组成。

    youdao

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