Cargando…
Measuring Abnormal Brains: Building Normative Rules in Neuroimaging Using One-Class Support Vector Machines
Pattern recognition methods have demonstrated to be suitable analyses tools to handle the high dimensionality of neuroimaging data. However, most studies combining neuroimaging with pattern recognition methods focus on two-class classification problems, usually aiming to discriminate patients under...
Autores principales: | Sato, João Ricardo, Rondina, Jane Maryam, Mourão-Miranda, Janaina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521128/ https://www.ncbi.nlm.nih.gov/pubmed/23248579 http://dx.doi.org/10.3389/fnins.2012.00178 |
Ejemplares similares
-
Predictive modelling using neuroimaging data in the presence of confounds
por: Rao, Anil, et al.
Publicado: (2017) -
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine
por: Mourão-Miranda, Janaina, et al.
Publicado: (2011) -
Diagnostic neuroimaging across diseases
por: Klöppel, Stefan, et al.
Publicado: (2011) -
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
por: Schrouff, J., et al.
Publicado: (2013) -
Rules for building and classing steel vessels, 2000 /
Publicado: (1999)