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Search: subject:"Kernel logistic regression"
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AdaBoost loss function
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Insurance tariffs
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Kernel logistic regression
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kernel logistic regression
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English
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Christmann, Andreas
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Steinwart, Ingo
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas
-
2004
nonparametric approach based on a combination of
kernel
logistic
regression
and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10010306241
Saved in:
2
On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2004
nonparametric approach based on a combination of
kernel
logistic
regression
and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10009295203
Saved in:
3
On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas
-
2004
nonparametric approach based on a combination of
kernel
logistic
regression
and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10010516923
Saved in:
4
On robustness properties of convex risk minimization methods for pattern recognition
Christmann, Andreas
;
Steinwart, Ingo
-
2003
.
Kernel
logistic
regression
, support vector machines, least squares and the AdaBoost loss function are treated as special …
Persistent link: https://www.econbiz.de/10010306271
Saved in:
5
On robustness properties of convex risk minimization methods for pattern recognition
Christmann, Andreas
;
Steinwart, Ingo
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2003
.
Kernel
logistic
regression
, support vector machines, least squares and the AdaBoost loss function are treated as special …
Persistent link: https://www.econbiz.de/10009295189
Saved in:
6
On robustness properties of convex risk minimization methods for pattern recognition
Christmann, Andreas
;
Steinwart, Ingo
-
2003
.
Kernel
logistic
regression
, support vector machines, least squares and the AdaBoost loss function are treated as special …
Persistent link: https://www.econbiz.de/10010477496
Saved in:
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