Using support vector machines for time series prediction

Müller, K-R; Smola, AJ; Rätsch, G; Schölkopf, B; Kohlmorgen, J; Vapnik, V

doi:10.5555/299094.299107

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Using support vector machines for time series prediction

Müller, K.-R., Smola, A., Rätsch, G., Schölkopf, B., Kohlmorgen, J., & Vapnik, V. (1999). Using support vector machines for time series prediction. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in kernel methods: support vector learning (pp. 243-253). Cambridge, MA, USA: MIT Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-C49B-F Version Permalink: https://hdl.handle.net/21.11116/0000-0005-C49C-E

Genre: Conference Paper

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https://dl.acm.org/doi/10.5555/299094.299107 (Publisher version) Open Access status unknown

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Creators:
Müller, K-R, Author
Smola, AJ, Author
Rätsch, G¹, Author
Schölkopf, B^{2, 3}, Author
Kohlmorgen, J, Author
Vapnik, V, Author

Affiliations:
1Friedrich Miescher Laboratory, Max Planck Society, ou_2575692
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797

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Dates: Date issued: 1999-02

Publication Status: Issued

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Identifiers: DOI: 10.5555/299094.299107

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Title: Eleventh Annual Conference on Neural Information Processing (NIPS 1997)

Place of Event: Breckenridge, CO, USA

Start-/End Date: 1997-12-01 - 1997-12-06

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Title: Advances in kernel methods: support vector learning

Source Genre: Proceedings

Creator(s):
Schölkopf, B¹, Editor
Burges, CJC, Editor
Smola, AJ, Editor

Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794

Publ. Info: Cambridge, MA, USA : MIT Press

Pages: 376 Volume / Issue: - Sequence Number: - Start / End Page: 243 - 253 Identifier: ISBN: 978-0-262-19416-7