On the interpretation of weight vectors of linear models in multivariate neuroimaging.
Stefan HaufeFrank C. MeineckeKai GörgenSven DähneJohn-Dylan HaynesBenjamin BlankertzFelix BießmannPublished in: NeuroImage (2014)
Keyphrases
- linear models
- weight vector
- variable selection
- linear model
- learning rate
- linear combination
- gaussian processes
- linear regression
- regression model
- hyperplane
- feature values
- loss function
- information content
- decision trees
- principal components
- nearest neighbor
- support vector machine
- data points
- pairwise
- objective function