Evaluation of a Didactic Method for the Active Learning of Greedy Algorithms.
Natalia Esteban-SánchezCeleste PizarroJ. Ángel Velázquez-IturbidePublished in: IEEE Trans. Educ. (2014)
Keyphrases
- high accuracy
- active learning
- neural network
- greedy algorithms
- preprocessing
- theoretical analysis
- experimental evaluation
- segmentation method
- detection method
- clustering method
- semi supervised
- computational cost
- cost function
- prior knowledge
- dynamic programming
- significant improvement
- probabilistic model
- classification accuracy
- feature vectors
- pairwise
- support vector
- optimal solution
- synthetic data
- bayesian networks
- random sampling
- gold standard
- machine learning