机器教学

Feng-Jen Yang
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摘要

虽然机器学习吸引了大多数研究人员的眼球,并且已经在我们日常生活的许多不同方面得到了实践,但人类同样受益于机器教学,从基本的实践训练到进一步的高级知识传授。因此,我再次强调机器可以具备的教学能力。本文的目的不是为了创造一个与“机器学习”相反的新术语“机器教学”,而是为了重申机器的对比能力,即机器不仅可以学习,还可以教学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Teaching
While machine learning is catching most researchers’ eyes and has been practiced in many different aspects of our daily life, humans are equally benefited from machine teaching for a variety of purposes ranging from basic practical training to further advanced knowledge conveying. I, thus, am reemphasizing the teaching capabilities that machines could be equipped with. This paper is not for the purpose of coining a new term called ”machine teaching” which is contrary to ”machine learning”, but for the sake of restating a contrasting capability of machines that not only machines can learn but also can teach.
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