supervised learning classification

基本解释

Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
Text classification is a supervised learning task of assigning natural language text documents to one or more predefined categories or classes according to their contents.
文本分类是指分析文本内容并按一定的策略把文本归入一个或多个合适的类别的应用技术。