High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso
Makoto YamadaWittawat JitkrittumLeonid SigalMasashi SugiyamaPublished in: CoRR (2012)
Keyphrases
- feature selection
- high dimensional
- feature set
- high dimensionality
- high dimension
- irrelevant features
- feature space
- redundant features
- variable selection
- dimensionality reduction
- preprocessing step
- feature subset
- feature ranking
- microarray data
- discriminative features
- mutual information
- text classification
- selection criterion
- low dimensional
- gene expression data
- classification accuracy
- selecting features
- support vector
- input features
- feature vectors
- supervised feature selection
- feature weights
- feature extraction
- dimension reduction
- multi class
- multi task
- feature selection algorithms
- feature relevance
- image features
- discriminatory power
- text categorization
- model selection
- small sample
- least squares
- pointwise mutual information
- generalized linear models
- decision trees
- support vector machine
- pairwise
- feature weighting
- parameter space
- information gain
- single feature
- cross validation
- nearest neighbor
- machine learning