Machine learning in social epidemiology: Learning from experience.
Machine learning in social epidemiology: Learning from experience.
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DOI：
10.1016/j.ssmph.2018.03.007
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Subramanian SV
中科院分区：
文献类型：
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作者：
Kreatsoulas C;Subramanian SV
1955年夏天，在达特茅斯大学，一个由进步思想科学家组成的小团体，包括创造了“人工智能（AI）"一词的约翰·麦卡锡（John McCarthy）、马文·明斯基（Marvin Minsky）、内森·罗切斯特（Nathan Rochester）和克劳德·香农（Claude Shannon），提交了一份研究提案，试图探索，“.学习的每一个方面或智能的任何其他特征，原则上可以如此精确地描述，以至于可以用机器来模拟它。找到如何让机器使用语言，形成抽象和概念，解决现在留给人类的各种问题，并改善自己。（McCarthy，Minsky，罗切斯特& Shannon，1955）。
In the summer of 1955 at Dartmouth University, a small community of progressive-thinking scientists including John McCarthy, who is credited with coining the term “artificial intelligence (AI)”, Marvin Minsky, Nathan Rochester and Claude Shannon, submitted a research proposal seeking to explore,“… every aspect of learning or any other feature of intelligence that can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans and improve themselves.”(McCarthy, Minsky, Rochester & Shannon, 1955).