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A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis.
Vangelis P. Oikonomou
Konstantinos Blekas
Loukas G. Astrakas
Published in:
IEEE Trans. Biomed. Eng. (2012)
Keyphrases
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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