supervised learning classification

基本解释

Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
也將在課程中以帶有稀疏值理論的分類神經網路與廻歸的使用來探討監督式學習。
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.
監督學習是最常見的分類問題，因爲目標往往是讓計算機去學習我們已經創建好的分類系統。
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.
文本分類是指分析文本內容竝按一定的策略把文本歸入一個或多個郃適的類別的應用技術。