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	331	Evaluating robustness of support vector machines with the Lagrangian dual approach Enthalten in Neural computing & applications Bd. 36, 26.2.2024, Nr. 14, date:5.2024: 7991-8006
	332	Evolutionary algorithm based optimization for power quality disturbances classification using support vector machines Enthalten in International journal of control, automation, and systems Bd. 8, 8.1.2011, Nr. 6, date:12.2010: 1306-1312
	333	Evolutionary competitive swarm exploring optimal support vector machines and feature weighting Enthalten in Soft computing Bd. 25, 2.1.2021, Nr. 4, date:2.2021: 3335-3352
	334	Experimental study on parameter choices in norm-r support vector regression machines with noisy input Enthalten in Soft computing Bd. 10, 27.04.2005, Nr. 3, date:02.2006: 219-223
	335	Extended least squares support vector machines for ordinal regression Enthalten in Neural computing & applications Bd. 27, 24.6.2015, Nr. 6, date:8.2016: 1497-1509
	336	Facial expression recognition using three-stage support vector machines Enthalten in Visual computing for industry, biomedicine, and art Bd. 2, 16.12.2019, Nr. 1, date:12.2019: 1-9
	337	Fast online algorithm for nonlinear support vector machines and other alike models Enthalten in Optical memory and neural networks Bd. 25, 6.1.2017, Nr. 4, date:10.2016: 203-218
	338	Fault classification method for inverter based on hybrid support vector machines and wavelet analysis Enthalten in International journal of control, automation, and systems Bd. 9, 3.8.2011, Nr. 4, date:8.2011: 797-804
	339	Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy Enthalten in Journal of medical systems Bd. 42, 12.9.2018, Nr. 10, date:10.2018: 1-11
	340	Fire Damage Identification in RC Beams based on Support Vector Machines considering Vibration Test Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 23, 3.9.2019, Nr. 10, date:10.2019: 4407-4416

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