Sparse group lasso and high dimensional multinomial classification.
Martin VincentNiels Richard HansenPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- high dimensional
- group lasso
- variable selection
- text classification
- feature space
- multi label learning
- regression model
- multiple kernel learning
- high dimensionality
- cross validation
- image classification
- dimensionality reduction
- support vector
- dimension reduction
- machine learning algorithms
- feature selection
- model selection
- classification accuracy
- probabilistic model
- decision trees
- regression problems
- multi task
- low dimensional
- training samples
- high dimensional data
- support vector machine
- class labels
- feature vectors
- feature extraction
- data points
- naive bayes
- input space
- unsupervised learning
- training set
- gaussian processes
- linear models
- nearest neighbor
- image segmentation
- expectation maximization