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  Asymptotically Optimal Choice of ε-Loss for Support Vector Machines

Smola, A., Murata, N., Schölkopf, B., & Müller, K.-R. (1998). Asymptotically Optimal Choice of ε-Loss for Support Vector Machines. In L. Niklasson, M. Bodén, & T. Ziemke (Eds.), ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998 (pp. 105-110). London, UK: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-DBC8-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-DBC9-2
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-1-4471-1599-1_11.pdf (Publisher version)
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 Creators:
Smola, AJ, Author           
Murata, N, Author
Schölkopf, B1, Author           
Müller, K-R, Author           
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1External Organizations, ou_persistent22              

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 Abstract: Under the assumption of asymptotically unbiased estimators we show that there exists a nontrivial choice of the insensitivity parameter in Vapnik’s ε-insensitive loss function which scales linearly with the input noise of the training data. This finding is backed by experimental results.

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 Dates: 1998-09
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-4471-1599-1_11
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Title: 8th International Conference on Artificial Neural Networks (ICANN 1998)
Place of Event: Skövde, Sweden
Start-/End Date: 1998-09-02 - 1998-09-04

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Title: ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998
Source Genre: Proceedings
 Creator(s):
Niklasson, L, Editor
Bodén, M, Editor
Ziemke, T, Editor
Affiliations:
-
Publ. Info: London, UK : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 105 - 110 Identifier: ISBN: 978-3-540-76263-8

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Title: Perspectives in Neural Computing
Source Genre: Series
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -