Publikationen von T Pfingsten
Alle Typen
Zeitschriftenartikel (3)
1.
Zeitschriftenartikel
4 (3), S. 465 - 469 (2007)
Feature Selection for Troubleshooting in Complex Assembly Lines. IEEE Transactions on Automation Science and Engineering 2.
Zeitschriftenartikel
26 (15), S. 3061 - 3065 (2006)
Statistical Analysis of Slow Crack Growth Experiments. Journal of the European Ceramic Society 3.
Zeitschriftenartikel
19 (4), S. 475 - 486 (2006)
Model-based Design Analysis and Yield Optimization. IEEE Transactions on Semiconductor Manufacturing Buch (1)
4.
Buch
Machine Learning for Mass Production and Industrial Engineering. Logos Verlag, Berlin, Germany (2007), 128 S.
Konferenzbeitrag (1)
5.
Konferenzbeitrag
Bayesian Active Learning for Sensitivity Analysis. In: Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006, S. 353 - 364 (Hg. Fürnkranz, J.; Scheffer, T.; Spiliopoulou, M.). 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, 18. September 2006 - 22. September 2006. Springer, Berlin, Germany (2006)
Poster (1)
6.
Poster
Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space. Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006), Benidorm, Spain (2006)
Hochschulschrift - Doktorarbeit (1)
7.
Hochschulschrift - Doktorarbeit
Machine Learning for Mass Production and Industrial Engineering. Dissertation, 124 S., Eberhard-Karls-Universität, Tübingen, Germany (2007)
Hochschulschrift - Diplom (1)
8.
Hochschulschrift - Diplom
Ladungsträgerdynamik in optisch angeregten GaAs-Quantendrähten: Relaxation und Transport. Diplom, 105 S., Westfälische Wilhelms-Universität, Münster, Germany (2003)
Bericht (1)
9.
Bericht
136). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 27 S.
Approximate Inference for Robust Gaussian Process Regression (Technical Report of the Max Planck Institute for Biological Cybernetics,