Items' difficulty level determination based on a Statics test with parameters variation.
Andres Restrepo CadavidJorge Luis Restrepo OchoaJaime Leonardo Barbosa PerezPublished in: FIE (2014)
Keyphrases
- maximum likelihood
- higher level
- parameter settings
- sensitivity analysis
- case study
- fine tuning
- real time
- parameter space
- artificial intelligence
- neural network
- face recognition
- knowledge level
- input parameters
- statistical significance
- control parameters
- parameter tuning
- real world
- machine learning
- test data
- computer vision
- expectation maximization
- image processing
- low level
- evolutionary algorithm
- bayesian networks