A Scalable Algorithm for Structured Kernel Feature Selection.
Shaogang RenShuai HuangJohn A. OnofreyXenios PapademetrisXiaoning QianPublished in: AISTATS (2015)
Keyphrases
- feature selection
- class separability
- support vector
- feature space
- kernel learning
- kernel function
- text categorization
- kernel methods
- multiple kernel learning
- feature extraction
- text classification
- feature selection algorithms
- high dimensionality
- structured data
- dimensionality reduction
- machine learning
- unsupervised learning
- positive definite
- classification accuracy
- kernel matrix
- convolution kernel
- irrelevant features
- kernel regression
- linear svm
- forward selection
- data sets
- information gain
- input space
- feature subset
- similarity function
- mutual information
- feature set
- multi class
- support vector machine
- classification models
- discriminative features
- svm classifier
- unsupervised feature selection
- decision stumps
- real world