Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy.
Jacinto AriasJosé A. GámezJosé Miguel PuertaPublished in: Int. J. Intell. Syst. (2015)
Keyphrases
- hill climbing
- trade off
- bayesian networks
- computational efficiency
- structural learning
- computational complexity
- simulated annealing
- search space
- exhaustive search
- search algorithm
- hybrid algorithms
- steepest ascent
- genetic algorithm ga
- systematic search
- search strategy
- conditional independence tests
- hill climbing algorithm
- direct search
- search procedure
- incomplete data
- genetic algorithm
- tabu search
- np hard
- cost function
- multi objective