Peak intensity prediction for pmf mass spectra using support vector regression

Timm W, Böcker S, Twellmann T, Nattkemper TW (2006)
In: Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence. 565-572.

Konferenzbeitrag | Veröffentlicht| Englisch
 
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Autor/in
Timm, Wiebke; Böcker, Sebastian; Twellmann, Thorsten; Nattkemper, Tim WilhelmUniBi
Erscheinungsjahr
2006
Titel des Konferenzbandes
Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence
Seite(n)
565-572
Page URI
https://pub.uni-bielefeld.de/record/2374494

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Timm W, Böcker S, Twellmann T, Nattkemper TW. Peak intensity prediction for pmf mass spectra using support vector regression. In: Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence. 2006: 565-572.
Timm, W., Böcker, S., Twellmann, T., & Nattkemper, T. W. (2006). Peak intensity prediction for pmf mass spectra using support vector regression. Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence, 565-572. doi:10.1142/9789812774118_0080
Timm, W., Böcker, S., Twellmann, T., and Nattkemper, T. W. (2006). “Peak intensity prediction for pmf mass spectra using support vector regression” in Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence 565-572.
Timm, W., et al., 2006. Peak intensity prediction for pmf mass spectra using support vector regression. In Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence. pp. 565-572.
W. Timm, et al., “Peak intensity prediction for pmf mass spectra using support vector regression”, Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence, 2006, pp.565-572.
Timm, W., Böcker, S., Twellmann, T., Nattkemper, T.W.: Peak intensity prediction for pmf mass spectra using support vector regression. Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence. p. 565-572. (2006).
Timm, Wiebke, Böcker, Sebastian, Twellmann, Thorsten, and Nattkemper, Tim Wilhelm. “Peak intensity prediction for pmf mass spectra using support vector regression”. Proc. of the 7th International FLINS Conference on Applied Artificial Intelligence. 2006. 565-572.

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