The first version of AlphaGo was bootstrapped using training data from human experts and further improved through self-play and an adaptation of Monte-Carlo Tree Search.
但其中也包含人类专家的翻译,也就是说训练数据的质量是参差不齐的。
But it also includes translations from human experts, and this buoys the quality of the training data as a whole.
The first version of AlphaGo was bootstrapped using training data from human experts and further improved through self-play and an adaptation of Monte-Carlo Tree Search.
想要制订规则,需要对人类专家的决策过程有很深刻的理解。
Designing rules requires a deep understanding of how a decision should be made by a human expert.
国际象棋机器无法战胜人类专家,只能玩象棋,仅此而已。
Chess-playing machines could not win against a human expert, and could play only chess, nothing more.
基于规则的系统可以用来创建软件来代替人类专家提供问题的答案。
Rule-based systems can be used to create software that provides answers to a problem in lieu of a human expert.
At the University of North Carolina School of Medicine, Watson was tested on 1,000 cancer diagnoses made by human experts.
要将会学习的软件应用于真实世界,需要人类专家的密切监督。
Setting learning software loose in real-world situations still requires close supervision from expert humans.
通过人与智能机器的合作,我们将扩大,扩展和部分取代人类专家在制造过程中的心理工作。
Through the cooperation of humans and intelligent machines, we will expand, extend and partially replace the mental work of human experts in the manufacturing process.
专家系统是基于人工智能的计算机系统,它学习并回报人类专家的决策能力。
An expert system is an AI-based computer system that learns and reciprocates the decision-making ability of a human expert.
重要的是,它对异常值是健壮的,结果是可以理解的,并且可以被人类专家解释。
What's important is that it is robust to outliers and that the results are understandable and interpretable by human experts.
最后,放射科医师的整体诊断准确率达到82%,而人类专家的准确率为73%。
In the end, the radiologists achieved 82 percent diagnostic accuracy overall compared to human experts' 73 percent accuracy.
根据知识工程支持者的观点,知识无法自动被学习,必须通过人类专家编入计算机,才能对它进行学习。
According to its proponents, knowledge can't be learned automatically; it must be programmed into the computer by human experts.
The first version of AlphaGo was bootstrapped using training data from human experts and further improved through self-play and an adaptation of Monte-Carlo Tree Search.
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