High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso.
Makoto YamadaWittawat JitkrittumLeonid SigalEric P. XingMasashi SugiyamaPublished in: Neural Comput. (2014)
Keyphrases
- feature selection
- high dimensional
- feature set
- high dimensionality
- feature subset
- irrelevant features
- feature space
- variable selection
- redundant features
- dimensionality reduction
- discriminative features
- microarray data
- preprocessing step
- high dimension
- selection criterion
- feature ranking
- gene expression data
- selecting features
- supervised feature selection
- small sample
- dimension reduction
- kernel function
- model selection
- mutual information
- text classification
- classification accuracy
- support vector machine
- input features
- feature selection algorithms
- image features
- text categorization
- multi class
- feature relevance
- support vector
- feature vectors
- data points
- low dimensional
- selected features
- least squares
- knn
- information gain
- single feature
- machine learning
- pairwise
- feature weighting
- nearest neighbor
- high dimensional feature space
- learning vector quantization
- similarity search
- feature extraction
- elastic net