Buscar
Mostrando ítems 21-30 de 329
Efficient supervised optimum-path forest classification for large datasets
(Elsevier B.V., 2012-01-01)
Today data acquisition technologies come up with large datasets with millions of samples for statistical analysis. This creates a tremendous challenge for pattern recognition techniques, which need to be more efficient ...
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 ...
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)
Quantification of Lactobacillus in fermented milk by multivariate image analysis with least-squares support-vector machines
(Springer HeidelbergHeidelbergAlemanha, 2007)
Pattern classification with mixtures of weighted least-squares support vector machine experts
(SpringerNew YorkEUA, 2009)
Support Vector Machines and Kernel Functions for Text Processing
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2013)
An fMRI Normative Database for Connectivity Networks Using One-Class Support Vector Machines
(WILEY-LISS, 2009)
The application of functional magnetic resonance imaging (fMRI) in neuroscience studies has increased enormously in the last decade. Although primarily used to map brain regions activated by specific stimuli, many studies ...