Probing for Sparse and Fast Variable Selection with Model-Based Boosting.
Janek ThomasTobias HeppAndreas MayrBernd BischlPublished in: Comput. Math. Methods Medicine (2017)
Keyphrases
- variable selection
- high dimensional
- group lasso
- input variables
- cross validation
- sparsity inducing
- linear models
- dimension reduction
- feature selection
- model selection
- high dimensional data
- relevance vector machine
- structured sparsity
- low dimensional
- dimensionality reduction
- sparse representation
- compressive sensing
- computer vision
- nearest neighbor
- machine learning
- ensemble methods
- regression model
- least squares
- random projections
- fuzzy logic
- data points
- logistic regression models
- feature extraction