Sparse Robust Regression for Explaining Classifiers.
Anton BjörklundAndreas HeneliusEmilia OikarinenKimmo KallonenKai PuolamäkiPublished in: DS (2019)
Keyphrases
- robust regression
- training data
- linear regression
- decision trees
- multiple models
- support vector
- regression methods
- density estimation
- feature selection
- linear classifiers
- elastic net
- image derivatives
- naive bayes
- machine learning algorithms
- sparse representation
- sparse coding
- bundle adjustment
- high dimensional
- linear support vector machines
- sparse learning