supervised learning

基本解釋

Supervised learning is the most common technique for training neural networks and decision trees.
監(jiān)督學(xué)習(xí)是訓(xùn)練神經(jīng)網(wǎng)絡(luò)和決策樹的最常見技術(shù)。
Supervised learning is tasked with learning a function from labeled training data in order to predict the value of any valid input.
監(jiān)琯學(xué)習(xí)的任務(wù)是學(xué)習(xí)帶標(biāo)簽的訓(xùn)練數(shù)據(jù)的功能，以便預(yù)測(cè)任何有傚輸入的值。
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(jiān)督學(xué)習(xí)是最常見的分類問(wèn)題，因爲(wèi)目標(biāo)往往是讓計(jì)算機(jī)去學(xué)習(xí)我們已經(jīng)創(chuàng)建好的分類系統(tǒng)。

Most of the growth in online learning is occurring in blended-learning environments, in which students learn online in an adult-supervised environment.
FORBES: To Out-Educate, We Must Out-Innovate

supervised subspace learning 監(jiān)督子空間學(xué)習(xí)
Supervised Machine Learning 學(xué)習(xí)方法;機(jī)器學(xué)習(xí)方法;有導(dǎo)機(jī)器學(xué)習(xí);監(jiān)督的機(jī)器學(xué)習(xí)
supervised deep learning 監(jiān)督式深度學(xué)習(xí)
supervised d learning 在分類器搆造過(guò)程中
semi -supervised machine learning 半指導(dǎo)機(jī)器學(xué)習(xí)