Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization.
Tao GaoXiao BaiLiang ZhangJian WangPublished in: SSCI (2021)
Keyphrases
- group lasso
- fuzzy neural network
- feature selection
- multi task
- variable selection
- regression model
- multiple kernel learning
- multi task learning
- prediction model
- regularization term
- model selection
- multi label learning
- neural network
- input output
- fuzzy rules
- efficient optimization
- learning tasks
- contingency tables
- text categorization
- low rank
- machine learning
- control strategy
- convex optimization
- information gain
- multi class
- membership functions
- learning problems
- cross validation
- hidden layer
- semi supervised learning
- kernel methods
- feature set
- feature extraction
- support vector
- feature space
- loss function
- bayesian networks
- high dimensional
- knn
- support vector machine
- nearest neighbor
- text classification