《深入理解AutoML和AutoDL:构建自动化机器学习与深度学习平台》 —1.6 参考文献

举报
华章计算机 发表于 2019/11/15 15:22:34 2019/11/15
【摘要】 本节书摘来自华章计算机《深入理解AutoML和AutoDL:构建自动化机器学习与深度学习平台》一书中第1章,第1.6节,作者是王健宗 瞿晓阳  。

1.6 参考文献

[1]  MCCARTHY J, MINSKY M L,ROCHESTER N, et al. A proposal for the Dartmouth summer research project on artificial intelligence[EB/OL]. (1955-08-31)[2019-05-30].https://www.aaai.org/ojs/index.php/aimagazine/article/view/1904.

[2]  MOORJ.The Dartmouth college artificial intelligence conference: the next fifty years[J]. AI Magazine,2006, 27(4): 87-89.

[3]  KLINE R. Cybernetics, automata studies and the Dartmouth conference on artificial intelligence[J]. IEEE Annals of the History of Computing, 2011, 33(4).

[4]  SOLOMONOFF R J. The time scale of artificial intelligence: reflections on social effects[J]. Human Systems Management, 1985, 5(2): 149-153.

[5]  MUEHLHAUSER L.Ben Goertzel on AGI as a field[EB/OL]. (2013-10-18) [2019-05-30].http://intelligence.org/2013/10/18/ben-goertzel/.

[6]  DVORSKY G. How much longer before our first AI catastrophe?[EB/OL]. (2013-04-01) [2019-05-30]. https://io9.gizmodo.com/howmuch-longer-before-our-first-ai-catastrophe-464043243.

[7]  KURZWEIL R. The singularity is near[M]//SANDLER R L. Ethics and emerging technologies.London:Palgrave Macmillan, 2014: 393-406.

[8]  CHALMERS D. The singularity: a philosophical analysis[J]. Journal of Consciousness Studies, 2010, 17(9-10): 7-65.

[9]  WEI L K. AI concepts in architectural design[C]//IOPscience. IOP conference series: materials science and engineering. Bristol:IOP Publishing, 2018, 392(6): 062016.

[10]       KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]//NIPS. Advances in neural information processing systems 25. New York: Curran Associates, 2012: 1097-1105.

[11]       LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C]//IEEE. Proceedings of the IEEE conference on computer vision and pattern recognition. Boston: IEEE, 2015: 3431-3440.

[12]       DEVLIN J, CHANG M W, LEE K, et al. Bert: Pre-training of deep bidirectional transformers for language understanding[J]. arXiv:1810.04805, 2018.


【版权声明】本文为华为云社区用户转载文章,如果您发现本社区中有涉嫌抄袭的内容,欢迎发送邮件进行举报,并提供相关证据,一经查实,本社区将立刻删除涉嫌侵权内容,举报邮箱: cloudbbs@huaweicloud.com
  • 点赞
  • 收藏
  • 关注作者

评论(0

0/1000
抱歉,系统识别当前为高风险访问,暂不支持该操作

全部回复

上滑加载中

设置昵称

在此一键设置昵称,即可参与社区互动!

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。