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Control-Group Feature Normalization for Multivariate Pattern Analysis of Structural MRI Data using the Support Vector Machine
Normalization of feature vector values is a common practice in machine learning. Generally, each feature value is standardized to the unit hypercube or by normalizing to zero mean and unit variance. Classification decisions based on support vector machines (SVMs) or by other methods are sensitive to...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4851898/ https://ncbi.nlm.nih.gov/pubmed/26915498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.02.044 |
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