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.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Einrichtung
Erscheinungsjahr
2013
Titel des Konferenzbandes
Workshop New Challenges in Neural Computation 2013
Serien- oder Zeitschriftentitel
Machine Learning Reports
Band
2013
Ausgabe
02
Seite(n)
87
Konferenz
GCPR 2013: 35th German Conference on Pattern Recognition
Konferenzort
Saarbrücken
Konferenzdatum
2013-09-03 – 2013-09-06
ISSN
1865-3960
Page URI
https://pub.uni-bielefeld.de/record/2622466
Zitieren
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, Slobodan, Schulz, Alexander, Haschke, Robert, and Ritter, Helge. 2013. “Learning the Appropriate Model Population Structures for Locally Weighted Regression”. In Workshop New Challenges in Neural Computation 2013, 2013:87. Machine Learning Reports. 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.
Google Scholar