Efficient Learning and Feature Selection in High-Dimensional Regression.
Jo-Anne TingAaron D'SouzaSethu VijayakumarStefan SchaalPublished in: Neural Comput. (2010)
Keyphrases
- efficient learning
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- model selection
- feature space
- supervised feature selection
- support vector
- gene expression data
- microarray data
- regression model
- variable selection
- regression problems
- high dimension
- small sample
- multi variate
- low dimensional
- dimension reduction
- feature selection algorithms
- high dimensional data
- linear regression
- text categorization
- text classification
- feature set
- nearest neighbor
- feature extraction
- support vector regression
- classification accuracy
- machine learning
- bayes net
- learning algorithm
- feature selection and classification
- structured prediction
- pattern languages
- membership queries
- data points
- feature subset
- cross validation
- relational databases
- artificial intelligence