supervised learning
监督学习：一种机器学习方法
常用释义
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美式发音
基本释义
- 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；
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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。
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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。
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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？
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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。
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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。
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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。
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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。
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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。
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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。