用于训练监督式分类器的语料库数据的组织结构。
Organization of corpus data for training supervised classifiers.
监督式分类器使用标签训练语料库来构建模型，预测基于特定要素输入的所输入的标签。
Supervised classifiers use labeled training corpora to build models that predict the label of an input based on specific features of that input.
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 with the use of regression and classification networks with sparse data sets will be explored.
应用推荐