SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.
Dijun LuoFei WangJimeng SunMarianthi MarkatouJianying HuShahram EbadollahiPublished in: SDM (2012)
Keyphrases
- feature selection
- model selection
- support vector
- supervised feature selection
- regression model
- regression problems
- support vector machine
- text categorization
- support vector machines for classification
- cross sections
- linear regression
- high dimension
- feature space
- support vector regression
- health care
- information technology
- machine learning
- feature extraction
- regression analysis
- feature ranking
- regression algorithm
- partial least squares
- stepwise regression
- feature selection algorithms
- learning algorithm
- feature subset
- dimension reduction
- microarray data
- naive bayes
- unsupervised learning
- decision trees
- text classification
- mutual information
- dimensionality reduction
- multi class
- classification accuracy