Feature selection in linear SVMs via hard cardinality constraint: a scalable SDP decomposition approach.
Immanuel M. BomzeFederico D'OnofrioLaura PalagiBo PengPublished in: CoRR (2024)
Keyphrases
- linear svm
- feature selection
- cardinality constraints
- text categorization
- logistic regression
- support vector
- feature extraction
- text classification
- kernel svms
- functional dependencies
- linear model
- machine learning
- feature set
- knn
- classification accuracy
- hyperplane
- support vector machine
- dimensionality reduction
- naive bayes
- database schema
- entity relationship
- linear programming
- feature space
- database systems
- integrity constraints
- unsupervised learning
- data sets
- objective function
- data mining