Comparing Neural Network, Logistic Regression, and Discriminant Analysis for Knowledge Representation and Classification Explanation.
Monica LamPublished in: AMCIS (2007)
Keyphrases
- classification and regression trees
- discriminant analysis
- logistic regression
- decision trees
- neural network
- support vector
- knowledge representation
- feature extraction
- credit scoring
- linear discriminant analysis
- logistic regression models
- face recognition
- fold cross validation
- factor analysis
- fisher criterion
- random forests
- pattern recognition
- classification trees
- machine learning
- partial least squares
- loss function
- naive bayes
- principal component analysis
- classification accuracy
- training set
- discriminant subspace
- support vector machine svm
- image classification
- cluster analysis
- unsupervised learning
- multi class
- support vector machine
- bayesian classifiers
- feature vectors