Sparse classification: a scalable discrete optimization perspective.
Dimitris BertsimasJean PauphiletBart P. G. Van ParysPublished in: Mach. Learn. (2021)
Keyphrases
- discrete optimization
- pattern recognition
- support vector
- feature extraction
- machine learning
- support vector machine svm
- classification accuracy
- viewpoint
- feature vectors
- image classification
- decision trees
- classification method
- feature space
- combinatorial optimization problems
- supervised learning
- feature set
- particle swarm optimization
- training samples
- sparse representation
- class labels
- neural network