Active learning to optimise time-expensive algorithm selection.
Riccardo VolpatoGuangyan SongPublished in: CoRR (2019)
Keyphrases
- active learning
- learning algorithm
- experimental evaluation
- np hard
- cost function
- optimal solution
- selection algorithm
- dynamic programming
- objective function
- k means
- matching algorithm
- computational cost
- detection algorithm
- preprocessing
- improved algorithm
- similarity measure
- theoretical analysis
- input data
- expectation maximization
- high accuracy
- optimization algorithm
- semi supervised
- search space
- computationally intensive
- recognition algorithm
- batch mode
- mobile robot
- linear programming
- worst case
- machine learning
- significant improvement
- computational complexity
- decision trees
- genetic algorithm