Wide spectrum feature selection (WiSe) for regression model building.
Ricardo R. RendallIvan CastilloAlix SchmidtSwee-Teng ChinLeo H. ChiangMarco S. ReisPublished in: Comput. Chem. Eng. (2019)
Keyphrases
- feature selection
- supervised feature selection
- model selection
- support vector machines for classification
- support vector
- regression model
- text categorization
- feature selection algorithms
- regression problems
- linear regression
- text classification
- ridge regression
- wide range
- mutual information
- regression algorithm
- classification accuracy
- information gain
- cross validation
- feature subset
- method for feature selection
- machine learning
- unsupervised learning
- feature extraction
- feature space
- multi class
- high dimensionality
- multi task
- support vector regression
- dimensionality reduction
- feature weighting
- pairwise
- polynomial regression
- regression methods
- selecting relevant features
- gene expression data
- feature selection and classification
- locally weighted
- knn
- small sample
- discriminative features
- regression analysis
- gaussian processes
- naive bayes