Sparse Minimal Learning Machines Via L_1/2 Norm Regularization.
Madson Luiz Dantas DiasAnanda L. FreireAmauri H. Souza JúniorAjalmar R. da Rocha NetoJoão Paulo Pordeus GomesPublished in: BRACIS (2018)
Keyphrases
- norm regularization
- learning machines
- convex optimization
- canonical correlation analysis
- group lasso
- sparse representation
- support vector
- loss function
- matrix completion
- multi task learning
- multiple kernel learning
- regression model
- learning problems
- model selection
- ensemble learning
- low rank
- training algorithm
- support vector machine
- multi task
- learning tasks
- pattern recognition
- learning algorithm
- vc dimension
- multi class
- generalization error
- cross validation
- feature selection
- image processing
- sample complexity
- supervised learning
- collaborative filtering
- hyperparameters
- image classification
- decision trees
- text classification
- random forest
- data sets
- machine learning