Convergence analyses on sparse feedforward neural networks via group lasso regularization.
Jian WangQingling CaiQingquan ChangJacek M. ZuradaPublished in: Inf. Sci. (2017)
Keyphrases
- group lasso
- feedforward neural networks
- structured sparsity
- variable selection
- regression model
- mixed norm
- regularization term
- efficient optimization
- multiple kernel learning
- multi label learning
- contingency tables
- neural network
- back propagation
- multi task
- low rank
- hidden layer
- recurrent neural networks
- convex optimization
- multi task learning
- high dimensional
- dimension reduction
- training algorithm
- convergence speed
- multilayer perceptron
- kernel methods
- loss function
- model selection
- cross validation
- high dimensional data
- semi supervised
- artificial neural networks
- learning algorithm