A branch-and-bound feature selection algorithm for U-shaped cost functions
Marcelo RisJunior BarreraDavid Correa Martins Jr.Published in: CoRR (2008)
Keyphrases
- branch and bound
- feature selection algorithms
- cost function
- feature selection
- lower bound
- search algorithm
- branch and bound algorithm
- upper bound
- column generation
- search space
- optimal solution
- combinatorial optimization
- data sets
- selection algorithm
- feature set
- branch and bound procedure
- tree search
- irrelevant features
- objective function
- tree search algorithm
- optimization problems
- randomly generated problems
- feature subset
- branch and bound method
- branch and bound search
- learning models
- lagrangian heuristic
- classification models
- bayesian networks
- machine learning
- constraint satisfaction problems
- simulated annealing
- supervised learning
- probabilistic model