Determination of hyper-parameters for kernel based classification and regression
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Classification
-
Mathematik
- Event
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Veröffentlichung
- (where)
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Dortmund
- (who)
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Universitätsbibliothek Dortmund
- (when)
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2005
- Creator
- Handle
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2003/21667
- URN
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urn:nbn:de:101:1-201607122229
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:55 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Christmann, Andreas
- Luebke, Karsten
- Marin-Galiano, Marcos
- Rüping, Stefan
- Universitätsbibliothek Dortmund
Time of origin
- 2005
Other Objects (12)
Determination of hyper-parameters for kernel based classification and regression
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Modelling Issues in Kernel Ridge Regression
Semiparametric Regression with Kernel Error Model
Kernel regression coefficients for practical significance
Kernel learning approaches for image classification
Consistency and robustness of kernel based regression
Local bandwidth selection in nonparametric kernel regression
Determination of hyper-parameters for kernel based classification and regression
Kernel methods for regression and classification
Kernel-based expectile regression
Data adaptive kernel regression estimation
Multivariate and semiparametric kernel regression
Multivariate and Semiparametric Kernel Regression
Modelling Issues in Kernel Ridge Regression
Semiparametric Regression with Kernel Error Model
Kernel regression coefficients for practical significance
Kernel learning approaches for image classification
Consistency and robustness of kernel based regression
Local bandwidth selection in nonparametric kernel regression
Determination of hyper-parameters for kernel based classification and regression
Kernel methods for regression and classification
Kernel-based expectile regression
Data adaptive kernel regression estimation
Multivariate and semiparametric kernel regression
Multivariate and Semiparametric Kernel Regression
Modelling Issues in Kernel Ridge Regression
Semiparametric Regression with Kernel Error Model
Kernel regression coefficients for practical significance
Kernel learning approaches for image classification
Consistency and robustness of kernel based regression