Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.
Jonas HanselleAlexander TornedeMarcel WeverEyke HüllermeierPublished in: PAKDD (1) (2021)
Keyphrases
- learning algorithm
- noisy data
- matching algorithm
- experimental evaluation
- optimal solution
- detection algorithm
- theoretical analysis
- worst case
- optimization algorithm
- segmentation algorithm
- input data
- high accuracy
- search space
- preprocessing
- np hard
- data sets
- cost function
- particle swarm optimization
- expectation maximization
- prior knowledge
- computational complexity
- learning phase
- dynamic programming
- synthetic datasets
- selection algorithm
- recognition algorithm
- convergence rate
- times faster
- data analysis
- tree structure
- xml documents
- significant improvement
- knowledge discovery
- probabilistic model
- mobile robot