Heterogeneous feature selection by group lasso with logistic regression.
Fei WuYing YuanYueting ZhuangPublished in: ACM Multimedia (2010)
Keyphrases
- logistic regression
- group lasso
- feature selection
- multi task
- variable selection
- support vector
- naive bayes
- multiple kernel learning
- regression model
- multi task learning
- decision trees
- logistic regression models
- text categorization
- loss function
- high dimensionality
- random forests
- cross validation
- model selection
- predictor variables
- support vector machine
- information gain
- text classification
- mutual information
- classification accuracy
- learning tasks
- multi class
- regression problems
- convex optimization
- kernel methods
- dimensionality reduction
- feature space
- gaussian processes
- machine learning
- kernel function
- high dimensional
- ls svm
- hyperparameters
- class imbalance
- cost sensitive