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Ergebnis der Suche nach: tit all "Support Vector Machines"
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331 - 340 von 490
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Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource
Artikel 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
Online Ressource


331 - 340 von 490
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