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

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Rätsch, G
Friedrich Miescher Laboratory, Max Planck Society;

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Schölkopf, B
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://dl.acm.org/doi/10.5555/299094.299107
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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.

Cite as: https://hdl.handle.net/21.11116/0000-0005-C49B-F

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