Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization.
Tsubasa OchiaiShigeki MatsudaHideyuki WatanabeShigeru KatagiriPublished in: CoRR (2016)
Keyphrases
- group lasso
- neural network
- regression model
- variable selection
- mixed norm
- node selection
- multi task
- contingency tables
- efficient optimization
- regularization term
- multi label learning
- low rank
- multiple kernel learning
- multi task learning
- wireless sensor networks
- convex optimization
- cross validation
- model selection
- genetic algorithm
- loss function
- image segmentation
- machine learning