Dimensionality Reduction for the Algorithm Recommendation Problem.
Edesio AlcobaçaRafael Gomes MantovaniAndré L. D. RossiAndré C. P. L. F. de CarvalhoPublished in: BRACIS (2018)
Keyphrases
- learning algorithm
- high accuracy
- objective function
- times faster
- matching algorithm
- dimensionality reduction
- worst case
- tree structure
- segmentation algorithm
- experimental evaluation
- dynamic programming
- np hard
- computational complexity
- high dimensional
- cost function
- optimal solution
- clustering method
- detection algorithm
- optimization algorithm
- theoretical analysis
- particle swarm optimization
- search space
- simulated annealing
- k means
- significant improvement
- machine learning
- computational cost
- improved algorithm