A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis.
Vangelis P. OikonomouKonstantinos BlekasLoukas G. AstrakasPublished in: IEEE Trans. Biomed. Eng. (2012)
Keyphrases
- regression model
- data analysis
- generalized linear models
- group lasso
- functional magnetic resonance imaging
- regression analysis
- generative model
- regression methods
- gaussian process
- model selection
- multivariate regression
- prediction model
- kernel regression
- machine learning
- logistic regression models
- linear regression model
- interval valued data
- data mining
- linear model
- high dimensional
- support vector regression
- rough sets
- prediction intervals
- explanatory variables
- target variable
- multiple linear regression
- high dimensional data
- human brain
- survival analysis
- regression method
- regression trees
- independent variables
- unsupervised learning
- response variable
- low rank