Sparse group lasso and high dimensional multinomial classification
Martin VincentNiels Richard HansenPublished in: CoRR (2012)
Keyphrases
- high dimensional
- group lasso
- variable selection
- text classification
- high dimensionality
- multi label learning
- multiple kernel learning
- dimension reduction
- regression model
- training samples
- feature extraction
- classification accuracy
- feature space
- training set
- cross validation
- feature selection
- regression problems
- dimensionality reduction
- high dimensional data
- image classification
- naive bayes
- low rank
- model selection
- support vector
- support vector machine
- efficient optimization
- data points
- class labels
- machine learning
- low dimensional