Refinement of an experimental approach tocomputer-based, active learning of greedy algorithms.
J. Ángel Velázquez-IturbidePublished in: ITiCSE (2012)
Keyphrases
- greedy algorithms
- active learning
- greedy algorithm
- learning strategies
- machine learning
- learning algorithm
- random sampling
- semi supervised
- knapsack problem
- search algorithm
- selective sampling
- annotation effort
- training examples
- neural network
- training set
- supervised learning
- learning process
- experimental design
- sample selection
- query refinement
- dynamic programming
- search engine
- cost sensitive
- website
- approximation ratio
- support vector
- refinement process
- unlabeled data
- active learning strategies
- semi supervised learning
- pool based active learning
- imbalanced data classification