杰弗里·辛顿 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "杰弗里·辛顿" in Chinese language version.

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10web.archive.org

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6worldcat.org

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5proquest.com

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2doi.org

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2utoronto.ca

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1scholar.google.com

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1nodak.edu

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1ukwhoswho.com

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1buffalo.edu

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bbc.com

Baraniuk, Chris. British-born AI expert wins Turing Award. 2019-03-27 [2019-03-27]. （原始内容存档于2019-03-27）（英国英语）.

buffalo.edu

cse.buffalo.edu

The Isaac Newton of logic. [2014-07-22]. （原始内容存档于2021-01-16）.

cbc.ca

Artificial intelligence scientist gets M prize. CBC News. 2011-02-14 [2014-07-22]. （原始内容存档于2011-02-17）.

doi.org

Gregory, R. L.; Murrell, J. N. Hugh Christopher Longuet-Higgins. 11 April 1923 -- 27 March 2004: Elected FRS 1958. Biographical Memoirs of Fellows of the Royal Society. 2006, 52: 149–166. doi:10.1098/rsbm.2006.0012 .
Anon (2015) Hinton, Prof. Geoffrey Everest. 英国名人录. ukwhoswho.com online Oxford University Press (布盧姆斯伯里出版公司旗下A & C Black). 需要订阅或英国公共图书馆会员资格 doi:10.1093/ww/9780199540884.013.20261

news.cn

两名科学家因机器学习方面的贡献分享2024年诺贝尔物理学奖. 新华网. 2024-10-08.

nobelprize.org

The Nobel Prize in Physics 2024. NobelPrize.org. [2024-10-08]. （原始内容存档于2024-10-08）（美国英语）.

nodak.edu

genealogy.math.ndsu.nodak.edu

杰弗里·辛顿在數學譜系計畫的資料。

nytimes.com

Metz, Cade. ‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead. The New York Times. 2023-05-01 [2023-05-02]. ISSN 0362-4331. （原始内容存档于2023-05-01）（美国英语）.

phdtree.org

Geoffrey E. Hinton's Academic Genealogy. [2014-07-22]. （原始内容存档于2017-03-23）.

proquest.com

search.proquest.com

Zemel, Richard Stanley. A minimum description length framework for unsupervised learning (PhD论文). University of Toronto. 1994. OCLC 222081343. ProQuest 304161918.
Frey, Brendan John. Bayesian networks for pattern classification, data compression, and channel coding (PhD论文). University of Toronto. 1998. OCLC 46557340. ProQuest 304396112.
Neal, Radford. Bayesian learning for neural networks (PhD论文). University of Toronto. 1995. OCLC 46499792. ProQuest 304260778.
Salakhutdinov, Ruslan. Learning deep generative models (PhD论文). University of Toronto. 2009. ISBN 9780494610800. OCLC 785764071. ProQuest 577365583.
Sutskever, Ilya. Training Recurrent Neural Networks (PhD论文). University of Toronto. 2013. OCLC 889910425. ProQuest 1501655550.

royalsociety.org

Fellows of the Royal Society. The Royal Society. [2013-03-14]. （原始内容存档于2015-06-26）.

scholar.google.com

由Google学术搜索索引的杰弗里·辛顿出版物

ukwhoswho.com

Anon (2015) Hinton, Prof. Geoffrey Everest. 英国名人录. ukwhoswho.com online Oxford University Press (布盧姆斯伯里出版公司旗下A & C Black). 需要订阅或英国公共图书馆会员资格 doi:10.1093/ww/9780199540884.013.20261

utoronto.ca

How U of T's 'godfather' of deep learning is reimagining AI. University of Toronto News. [2018-12-28]. （原始内容存档于2019-04-06）（英语）.

media.utoronto.ca

U of T neural networks start-up acquired by Google (新闻稿). Toronto, ON. 2013-03-12 [2013-03-13]. （原始内容存档于2019-10-08）.

web.archive.org

Geoffrey E. Hinton's Academic Genealogy. [2014-07-22]. （原始内容存档于2017-03-23）.
Daniela Hernandez. The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI. Wired. 7 May 2013 [10 May 2013]. （原始内容存档于2014-03-29）.
How U of T's 'godfather' of deep learning is reimagining AI. University of Toronto News. [2018-12-28]. （原始内容存档于2019-04-06）（英语）.
Baraniuk, Chris. British-born AI expert wins Turing Award. 2019-03-27 [2019-03-27]. （原始内容存档于2019-03-27）（英国英语）.
The Nobel Prize in Physics 2024. NobelPrize.org. [2024-10-08]. （原始内容存档于2024-10-08）（美国英语）.
U of T neural networks start-up acquired by Google (新闻稿). Toronto, ON. 2013-03-12 [2013-03-13]. （原始内容存档于2019-10-08）.
Fellows of the Royal Society. The Royal Society. [2013-03-14]. （原始内容存档于2015-06-26）.
Artificial intelligence scientist gets M prize. CBC News. 2011-02-14 [2014-07-22]. （原始内容存档于2011-02-17）.
The Isaac Newton of logic. [2014-07-22]. （原始内容存档于2021-01-16）.
Metz, Cade. ‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead. The New York Times. 2023-05-01 [2023-05-02]. ISSN 0362-4331. （原始内容存档于2023-05-01）（美国英语）.

wired.com

Daniela Hernandez. The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI. Wired. 7 May 2013 [10 May 2013]. （原始内容存档于2014-03-29）.

worldcat.org

Zemel, Richard Stanley. A minimum description length framework for unsupervised learning (PhD论文). University of Toronto. 1994. OCLC 222081343. ProQuest 304161918.
Frey, Brendan John. Bayesian networks for pattern classification, data compression, and channel coding (PhD论文). University of Toronto. 1998. OCLC 46557340. ProQuest 304396112.
Neal, Radford. Bayesian learning for neural networks (PhD论文). University of Toronto. 1995. OCLC 46499792. ProQuest 304260778.
Salakhutdinov, Ruslan. Learning deep generative models (PhD论文). University of Toronto. 2009. ISBN 9780494610800. OCLC 785764071. ProQuest 577365583.
Sutskever, Ilya. Training Recurrent Neural Networks (PhD论文). University of Toronto. 2013. OCLC 889910425. ProQuest 1501655550.
Metz, Cade. ‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead. The New York Times. 2023-05-01 [2023-05-02]. ISSN 0362-4331. （原始内容存档于2023-05-01）（美国英语）.