An Experimental Method for the Active Learning of Greedy Algorithms.
J. Ángel Velázquez-IturbidePublished in: ACM Trans. Comput. Educ. (2013)
Keyphrases
- active learning
- cost function
- significant improvement
- similarity measure
- high precision
- experimental evaluation
- learning strategies
- synthetic data
- theoretical analysis
- greedy algorithms
- learning algorithm
- greedy algorithm
- classification method
- high accuracy
- computational cost
- pairwise
- objective function
- optimization problems
- computationally efficient
- dynamic programming
- error rate
- lower bound
- feature space
- computational complexity
- decision trees