Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm.
Eugene BelilovskyKaterina GkirtzouMichail MisyrlisAnna B. KonovaJean HonorioNelly Alia-KleinRita Z. GoldsteinDimitris SamarasMatthew B. BlaschkoPublished in: Comput. Medical Imaging Graph. (2015)
Keyphrases
- multi variate
- regression model
- pattern recognition
- support vector
- classification accuracy
- predictive modeling
- statistical modeling
- classification algorithm
- high dimensional
- decision trees
- training set
- feature vectors
- support vector machine
- image classification
- restricted boltzmann machine
- model selection
- feature selection
- regression problems
- machine learning
- classification method
- response variable
- numeric values
- group lasso
- text classification
- data mining
- feature extraction
- classification rules
- cross validation
- training samples
- supervised learning
- feature space
- data analysis
- classification and regression problems