supervised learning

监督学习:一种机器学习方法

常用释义

词性释义

监督学习:一种机器学习方法,其中模型通过使用带有标签的训练数据来学习预测目标变量的关系。
例句
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1·Other feedforward models and supervised learning models.
其它前馈型网络模型和监督学习模型;
2·Lattice machine is a novel approach to supervised learning.
格机是一种新颖的有监督学习方法。
3·If you want to use some supervised learning algorithm, you need labeled data.
如果你想使用有监督的学习算法,你需要标记数据。
4·What are the differences between supervised learning and reinforcement learning?
监督学习与强化学习的区别是什么?
5·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。
6·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。
7·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。
8·A semi-supervised learning system was proposed based on ART (adaptive resonance theory).
根据自适应谐振理论提出了半监督学习自适应谐振理论系统。
9·A 3d expression generating method based on morphing and supervised learning is introduced.
提出一种基于变形和监督式学习的三维表情生成方法。
10·Supervised learning is the most common technique for training neural networks and decision trees.
监督学习是训练神经网络和决策树的最常见技术。