Visualization of nonlinear kernel models in neuroimaging by sensitivity maps

Article ID	Journal	Published Year	Pages	File Type
6036229	NeuroImage	2011	12 Pages	PDF

Abstract

âº Nonlinear classification models provide more flexibility than linear models. âº We visualize nonlinear kernel classification models via sensitivity maps. âº The sensitivity map is a versatile tool for visualization of nonlinear models.

Keywords

Model visualization Pattern analysis Multivariate analysis Neuroimaging Kernel methods Support vector machine Nonlinear modeling Sensitivity map Machine learning

Related Topics

Life Sciences Neuroscience Cognitive Neuroscience

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Visualization of nonlinear kernel models in neuroimaging by sensitivity maps

Authors

Peter Mondrup Rasmussen, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Lars Kai Hansen,