Partially supervised feature selection with regularized linear models.
Thibault HelleputtePierre DupontPublished in: ICML (2009)
Keyphrases
- linear models
- partially supervised
- feature selection
- multi class
- variable selection
- linear model
- support vector machine
- least squares
- gaussian processes
- text categorization
- linear regression
- multi instance
- multi task
- feature set
- text classification
- machine learning
- feature extraction
- high dimensionality
- model selection
- knn
- feature space
- dimension reduction
- dimensionality reduction
- classification accuracy
- active appearance models
- causal relationships
- support vector machine svm
- gaussian process
- regression model
- support vector
- maximum likelihood
- data analysis