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  • Search: subject:"Kernel logistic regression"
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Year of publication
Subject
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Data Mining 4 Kernel logistic regression 4 AdaBoost loss function 3 Classification 3 Insurance tariffs 3 Machine learning 3 Regression 3 Regression analysis 3 Regressionsanalyse 3 Robustness 3 Simplicity 3 Support Vector Machine 3 Support Vector Regression 3 influence function 3 kernel logistic regression 3 robustness 3 sensitivity curve 3 statistical learning 3 support vector machine 3 total variation 3 Data mining 2 Forecasting model 2 Mustererkennung 2 Pattern recognition 2 Prognoseverfahren 2 Robust statistics 2 Robustes Verfahren 2 Theorie 2 Artificial intelligence 1 Automobile insurance 1 Car insurance 1 Credit default swaps 1 Data Mining (STW) 1 Default prediction 1 Estimation theory 1 Kfz-Versicherung 1 Klassifikation 1 Kraftfahrtversicherung 1 Kraftfahrtversicherung (STW) 1 Kraftfahrzeug 1
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Online availability
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Free 6 Undetermined 1
Type of publication
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Book / Working Paper 6 Article 2
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 7 Undetermined 1
Author
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Christmann, Andreas 6 Steinwart, Ingo 3 Kašćelan, Ljiljan 1 Kašćelan, Vladimir 1 Leker, Jens 1 Novović Burić, Milijana 1 Wosnitza, Jan Henrik 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2
Published in...
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Technical Report 2 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2 Economic research 1 Physica A: Statistical Mechanics and its Applications 1
Source
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ECONIS (ZBW) 3 RePEc 3 EconStor 2
Showing 1 - 8 of 8
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A nonparametric data mining approach for risk prediction in car insurance : a case study from the Montenegrin market
Kašćelan, Vladimir; Kašćelan, Ljiljan; Novović … - In: Economic research 29 (2016) 1, pp. 545-558
Persistent link: https://www.econbiz.de/10012221714
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Why credit risk markets are predestined for exhibiting log-periodic power law structures
Wosnitza, Jan Henrik; Leker, Jens - In: Physica A: Statistical Mechanics and its Applications 393 (2014) C, pp. 427-449
logistic regression (PLR) and kernel logistic regression (KLR), are firstly compared to the standard logistic regression (SLR …
Persistent link: https://www.econbiz.de/10010709978
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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:
Cover Image
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:
Cover Image
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:
Cover Image
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:
Cover Image
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:
Cover Image
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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