Predicting Academic Achievement Using Multiple Instance Genetic Programming.
Amelia ZafraCristóbal RomeroSebastián VenturaPublished in: ISDA (2009)
Keyphrases
- multiple instance
- genetic programming
- regression problems
- academic achievement
- multiple instance learning
- real valued
- attitudes toward
- concept learning
- learning strategies
- undergraduate students
- learning problems
- computer assisted instruction
- evolutionary algorithm
- distance learning
- control group
- relational learning
- semi supervised learning
- training program
- genetic algorithm
- virtual learning environments
- multi class
- educational technology
- maximum margin
- data sets
- experimental design
- supervised learning
- learning environment
- labeled data
- statistically significant