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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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