Tuning the PBIL algorithm to solve a real-world FAP problem.
José Manuel Chaves-GonzálezMiguel A. Vega-RodríguezDavid Domínguez-GonzálezJuan Antonio Gómez PulidoJuan M. Sánchez-PérezPublished in: Int. J. Reason. based Intell. Syst. (2010)
Keyphrases
- real world
- learning algorithm
- detection algorithm
- computational complexity
- objective function
- significant improvement
- hybrid algorithm
- dynamic programming
- computational cost
- improved algorithm
- experimental evaluation
- simulated annealing
- parameter tuning
- parameter settings
- convex hull
- input data
- high accuracy
- preprocessing
- expectation maximization
- tree structure
- times faster
- worst case
- recently developed
- np hard
- recognition algorithm
- k means
- synthetic datasets
- decision trees
- newly developed