Model-based feature selection for neural networks: A mixed-integer programming approach.
Shudian ZhaoCalvin TsayJan KronqvistPublished in: CoRR (2023)
Keyphrases
- mixed integer programming
- neural network
- feature selection
- column generation
- lot sizing
- mixed integer
- dantzig wolfe decomposition
- production planning
- genetic algorithm
- text categorization
- model selection
- classification accuracy
- text classification
- linear programming
- machine learning
- scheduling problem
- np hard
- support vector
- bayesian networks
- feature extraction