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Incremental accelerated gradient methods for SVM classification : study of the constrained approach
Couellan, Nicolas; Jan, Sophie - In: Computational Management Science : CMS 11 (2014) 4, pp. 419-444
Persistent link: https://www.econbiz.de/10010437148
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Convex optimization for group feature selection in networked data
Won, Daehan; Manzour, Hasan; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 32 (2020) 1, pp. 182-198
Persistent link: https://www.econbiz.de/10012183006
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SVM-maj : a majorization approach to linear support vector machines with different hinge
Groenen, Patrick J. F. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003754030
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Selective linearization for multi-block statistical learning
Du, Yu; Lin, Xiaodong; Pham, Minh; Ruszczyński, Andrzej P. - In: European journal of operational research : EJOR 293 (2021) 1, pp. 219-228
Persistent link: https://www.econbiz.de/10012502477
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A novel efficient control chart to monitor the mean vector and variance-covariance matrix using support vector machine and tuned kernel function
Azar, Amir; Raissi, Sadigh - In: International journal of services and operations … 43 (2022) 1, pp. 52-71
Persistent link: https://www.econbiz.de/10013552864
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Robust and distributionally robust optimization models for linear support vector machine
Faccini, Daniel; Maggioni, Francesca; Potra, Florian A. - In: Computers & operations research : and their … 147 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013415854
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Non-Linear interactions and exchange rate prediction : empirical evidence using support vector regression
Peng, Yaohao; Albuquerque, Pedro H. - In: Applied mathematical finance 26 (2019) 1, pp. 69-100
Persistent link: https://www.econbiz.de/10012210260
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Kernel based support vector machine via semidefinite programming : application to medical diagnosis
Conforti, Domenico; Guido, Rosita - In: Computers & operations research : and their … 37 (2010) 8, pp. 1389-1394
Persistent link: https://www.econbiz.de/10003944897
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Global resolution of the support vector machine regression parameters selection problem with LPCC
Lee, Yu-Ching; Pang, Jong-shi; Mitchell, John E. - In: EURO journal on computational optimization 3 (2015) 3, pp. 197-261
Persistent link: https://www.econbiz.de/10011379670
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Interpretable support vector machines for functional data
Martin-Barragan, Belen; Lillo, Rosa; Romo, Juan - In: European journal of operational research : EJOR 232 (2014) 1, pp. 146-155
Persistent link: https://www.econbiz.de/10010224722