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Reducing the Dimensionality of Data with Neural Networks

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Science  28 Jul 2006:
Vol. 313, Issue 5786, pp. 504-507
DOI: 10.1126/science.1127647

Article Information

vol. 313 no. 5786 504-507

DOI: 
https://doi.org/10.1126/science.1127647
PubMed: 
16873662
Published By: 
American Association for the Advancement of Science
Print ISSN: 
0036-8075
Online ISSN: 
1095-9203
History: 
  • Received for publication March 20, 2006
  • Accepted for publication June 1, 2006
  • .
Copyright & Usage: 
American Association for the Advancement of Science

Author Information

  1. G. E. Hinton*,
  2. R. R. Salakhutdinov
  1. Department of Computer Science, University of Toronto, 6 King's College Road, Toronto, Ontario M5S 3G4, Canada.
  1. ↵* To whom correspondence should be addressed; E-mail: hinton{at}cs.toronto.edu

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  • Reducing the Dimensionality of Data with Neural Networks

    By G. E. Hinton, R. R. Salakhutdinov

    Science : 504-507

    Neural networks can be used to reduce accurately high-dimensional data to lower dimensional representations for pattern recognition tasks.

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