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  Joint Kernel Maps

Weston, J., Schölkopf, B., & Bousquet, O. (2005). Joint Kernel Maps. In J. Cabestany, A. Prieto, & F. Sandoval (Eds.), Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005 (pp. 176-191). Berlin, Germany: Springer.

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 Creators:
Weston, J, Author           
Schölkopf, B1, 2, Author           
Bousquet, O1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We develop a methodology for solving high dimensional dependency estimation problems between pairs of data types, which is viable in the case where the output of interest has very high dimension, e.g., thousands of dimensions. This is achieved by mapping the objects into continuous or discrete spaces, using joint kernels. Known correlations between input and output can be defined by such kernels, some of which can maintain linearity in the outputs to provide simple (closed form) pre-images. We provide examples of such kernels and empirical results.

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 Dates: 2005-06
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 3472
DOI: 10.1007/11494669_23
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Title: 8th International Work-Conference on Artificial Neural Networks (IWANN 2005)
Place of Event: Barcelona, Spain
Start-/End Date: 2005-06-08 - 2005-06-10

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Title: Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005
Source Genre: Proceedings
 Creator(s):
Cabestany, J, Editor
Prieto, A, Editor
Sandoval, F, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 176 - 191 Identifier: ISBN: 978-3-540-26208-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 3512 Sequence Number: - Start / End Page: - Identifier: -