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Solving nonstationary classification problems with coupled support vector machines
(Institute Of Electrical And Electronics Engineers, 2011-01)
Many learning problems may vary slowly over time: in particular, some critical real-world applications. When facing this problem, it is desirable that the learning method could find the correct input-output function and ...
Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds
(Pergamon-Elsevier Science Ltd, 2018-04)
Background: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings extremely difficult. To address this issue, a prototype is presented of ...
Optimized complex power quality classifier using one vs. rest support vector machine
(Scientific Research Publishing, 2017-09)
Nowadays, power quality issues are becoming a significant research topic because of the increasing inclusion of very sensitive devices and considerable renewable energy sources. In general, most of the previous power quality ...
Support vector regression for functional data in multivariate calibration problems
(Elsevier Science BvAmsterdamHolanda, 2009)
Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification
(Elsevier Science IncNew YorkEUA, 2007)