Logistic Regression with Structured Sparsity.
Nikhil S. RaoRobert D. NowakChristopher R. CoxTimothy T. RogersPublished in: CoRR (2014)
Keyphrases
- logistic regression
- structured sparsity
- statistical learning
- decision trees
- compressive sensing
- support vector
- group lasso
- linear support vector machines
- naive bayes
- loss function
- convex optimization problems
- random forests
- regression model
- learning problems
- data sets
- text categorization
- text classification
- evolutionary algorithm
- machine learning