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Advanced conjoint analysis using feature selection via support vector machines
Maldonado, Sebastián; Montoya, Ricardo; Weber, Richard - In: European journal of operational research : EJOR 241 (2015) 2, pp. 564-574
Persistent link: https://www.econbiz.de/10010487970
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Bankruptcy prediction using support vector machines and feature selection during the recent financial crisis
Dellepiane, Umberto; Di Marcantonio, Michele; Laghi, Enrico - In: International journal of economics and finance 7 (2015) 8, pp. 182-195
Persistent link: https://www.econbiz.de/10011346867
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Cost-sensitive Feature Selection for Support Vector Machines
Benítez-Peña, S.; Blanquero, R.; Carrizosa, Emilio; … - In: Computers & operations research : and their … 106 (2019), pp. 169-178
Persistent link: https://www.econbiz.de/10012014403
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Cost-based feature selection for Support Vector Machines : an application in credit scoring
Maldonado, Sebastián; Pérez, Juan; Bravo, Cristián - In: European journal of operational research : EJOR 261 (2017) 2, pp. 656-665
Persistent link: https://www.econbiz.de/10011738061
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High dimensional data classification and feature selection using support vector machines
Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 265 (2018) 3, pp. 993-1004
Persistent link: https://www.econbiz.de/10011778669
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Feature selection in credit risk modeling : an international evidence
Zhou, Ying; Uddin, Mohammad S.; Habib, Tabassum; Chi, Guotai - In: Economic research 34 (2021) 1,3, pp. 3064-3091
Persistent link: https://www.econbiz.de/10014232052
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Consumer preference elicitation of complex products using fuzzy support vector machine active learning
Huang, Dongling; Luo, Lan - In: Marketing science : the marketing journal of the … 35 (2016) 3, pp. 445-464
Persistent link: https://www.econbiz.de/10011498939
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Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines
López, Julio; Maldonado, Sebastián; Montoya, Ricardo - In: Journal of the Operational Research Society : OR 68 (2017) 11, pp. 1323-1334
Persistent link: https://www.econbiz.de/10011815891
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Democracy and growth : evidence from SVMDI indices
Gründler, Klaus; Krieger, Tommy - 2015
Evidence from a novel measure of democracy (SVMDI) based on Support Vector Machines highlights a robust positive relationship between democracy and economic growth. We argue that the ambiguity in recent studies can be traced back to the neglect of the information in the equation in levels and...
Persistent link: https://www.econbiz.de/10010517021
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Using support vector machines for measuring democracy
Gründler, Klaus; Krieger, Tommy - 2015
We present a novel approach for measuring democracy, which enables a very detailed and sensitive index. This method is based on Support Vector Machines, a mathematical algorithm for pattern recognition. Our implementation evaluates 188 countries in the period between 1981 and 2011. The Support...
Persistent link: https://www.econbiz.de/10010517028