A Comparison of Neural Networks and Classical Discriminant Analysis in Predicting Students' Mathematics Placement Examination Scores.
Stephen J. SheelDeborah VroomanRené S. RennerShanda K. DawseyPublished in: International Conference on Computational Science (2) (2001)
Keyphrases
- discriminant analysis
- neural network
- face recognition
- linear discriminant analysis
- feature extraction
- grade students
- computer assisted instruction
- pattern recognition
- mathematics education
- classification and regression trees
- computer programming
- student learning
- factor analysis
- student achievement
- learning experience
- fisher discriminant analysis
- fisher linear discriminant analysis
- partial least squares
- learning process
- principal component analysis
- fisher criterion
- college students
- high school
- discriminant functions
- generalized linear
- control group
- learning styles
- dimensionality reduction
- post test
- data sets
- machine learning
- kernel discriminant analysis
- data analysis
- high dimensional
- dimensionality reduction methods
- data representation