On the Design of a Master-Worker Adaptive Algorithm Selection Framework.
Christopher JankeeSébastien VérelBilel DerbelCyril FonluptPublished in: Artificial Evolution (2017)
Keyphrases
- experimental evaluation
- selection algorithm
- detection algorithm
- probabilistic model
- theoretical analysis
- data sets
- times faster
- cost function
- k means
- significant improvement
- dynamic programming
- bayesian framework
- high accuracy
- matching algorithm
- optimization algorithm
- objective function
- computational complexity
- linear programming
- worst case
- preprocessing
- design principles
- search space
- improved algorithm
- multiple instance learning
- key features
- tree structure
- segmentation algorithm
- support vector machine
- computational cost
- np hard
- lower bound
- neural network