使用无监督学习算法对标签数据。
现在我已经做了对的监督和无监督学习算法,如决策树,一些基本的阅读聚类,神经网络等。
Now I have done some basic reading on supervised and unsupervised learning algorithms such as decision trees, clustering, neural networks... etc.
学习过程中,采用无监督学习算法对输入权重进行调整,采用有监督学习算法对输出权重进行调整。
Unsupervised learning is used to adjust input weight values and supervised learning is utilized to adjust output weight values.
半监督学习算法同时考虑有标记和无标记数据,能显著提升学习效果。
Semi-supervised learning algorithms, which consider both labeled and unlabeled data, can improve learning effectiveness significantly.
半监督学习算法同时考虑有标记和无标记数据,能显著提升学习效果。
Semi-supervised learning algorithms, which consider both labeled and unlabeled data, can improve learning effectiveness significantly.
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