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unFEAR : unsupervised feature extraction clustering with an application to crisis regimes classification
Chan-Lau, Jorge A.; Wang, Ran - 2020
cluster crisis frequency. Moreover, unFEAR could serve as a first step towards developing cluster-specific crisis prediction …
Persistent link: https://www.econbiz.de/10012392653
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Associative classification apporaches : review and comparison
Abdelhamid, Neda; Thabtah, Fadi - In: Journal of information & knowledge management : JIKM 13 (2014) 3, pp. 1-30
Persistent link: https://www.econbiz.de/10010438960
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A new model of data classification based on generalized support vector machines
Cusano, Claudio (contributor); Fini, Matteo (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002184944
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Linear classification Tikhonov regularization knowledge-based support vector machine for tornado forecasting
Trafalis, Theodore B.; Oladunni, Olutayo O.; Richman, … - In: Computational Management Science : CMS 8 (2011) 3, pp. 281-297
Persistent link: https://www.econbiz.de/10009231292
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An investigation of the effect of variable reduction on classification accuracy rates of consumer loans
Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139
Persistent link: https://www.econbiz.de/10010231895
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Base model combination algorithm for resolving tied predictions for K-nearest neighbor OVA ensemble models
Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 517-526
Persistent link: https://www.econbiz.de/10009784055
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A nested heuristic for parameter tuning in Support Vector Machines
Carrioza, Emilio; Martín-Barragán, Belén; Romero … - In: Computers & operations research : and their … 43 (2014), pp. 328-334
Persistent link: https://www.econbiz.de/10010242738
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Predicting the failures of prediction markets : a procedure of decision making using classification models
Tai, Chung-Ching; Lin, Hung-Wen; Chie, Bin-Tzong; Tung, … - In: International journal of forecasting 35 (2019) 1, pp. 297-312
Persistent link: https://www.econbiz.de/10012300629
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Depth-based support vector classifiers to detect data nests of rare events
Dyckerhoff, Rainer; Stenz, Hartmut Jakob - In: International journal of computational economics and … 11 (2021) 2, pp. 107-142
Persistent link: https://www.econbiz.de/10012507582
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Robust classification via support vector machines
Asimit, Alexandru V.; Kyriakou, Ioannis; Santoni, Simone; … - In: Risks : open access journal 10 (2022) 8, pp. 1-25
Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to …
Persistent link: https://www.econbiz.de/10013368291