Learning the Appropriate Model Population Structures for Locally Weighted Regression

Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports, 2013(02). Bielefeld: Universität Bielefeld: 87.

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Conference Paper | Published | English

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Publishing Year
Conference
GCPR 2013: 35th German Conference on Pattern Recognition
Location
Saarbrücken
Conference Date
2013-09-03 – 2013-09-06
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Vukanovicz S, Schulz A, Haschke R, Ritter H. Learning the Appropriate Model Population Structures for Locally Weighted Regression. In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. Vol 2013. Bielefeld: Universität Bielefeld; 2013: 87.
Vukanovicz, S., Schulz, A., Haschke, R., & Ritter, H. (2013). Learning the Appropriate Model Population Structures for Locally Weighted Regression. Workshop New Challenges in Neural Computation 2013, Machine Learning Reports, 2013, 87. Bielefeld: Universität Bielefeld.
Vukanovicz, S., Schulz, A., Haschke, R., and Ritter, H. (2013). “Learning the Appropriate Model Population Structures for Locally Weighted Regression” in Workshop New Challenges in Neural Computation 2013 Machine Learning Reports, vol. 2013, (Bielefeld: Universität Bielefeld), 87.
Vukanovicz, S., et al., 2013. Learning the Appropriate Model Population Structures for Locally Weighted Regression. In Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. no.2013 Bielefeld: Universität Bielefeld, pp. 87.
S. Vukanovicz, et al., “Learning the Appropriate Model Population Structures for Locally Weighted Regression”, Workshop New Challenges in Neural Computation 2013, Machine Learning Reports, vol. 2013, Bielefeld: Universität Bielefeld, 2013, pp.87.
Vukanovicz, S., Schulz, A., Haschke, R., Ritter, H.: Learning the Appropriate Model Population Structures for Locally Weighted Regression. Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. 2013, p. 87. Universität Bielefeld, Bielefeld (2013).
Vukanovicz, Slobodan, Schulz, Alexander, Haschke, Robert, and Ritter, Helge. “Learning the Appropriate Model Population Structures for Locally Weighted Regression”. Workshop New Challenges in Neural Computation 2013. Bielefeld: Universität Bielefeld, 2013.Vol. 2013. Machine Learning Reports. 87.
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