A binary decision tree classifier implementing logistic regression as a feature selection and classification method and its comparison with maximum likelihood.
Helio Radke BittencourtDenis A. de Oliveira MoraesVictor HaertelPublished in: IGARSS (2007)
Keyphrases
- logistic regression
- classification method
- decision tree classifiers
- maximum likelihood
- decision trees
- feature selection
- naive bayes
- text classification
- selected features
- support vector
- support vector machine
- knn
- classification algorithm
- k nearest neighbor
- text categorization
- random forests
- loss function
- support vector machine svm
- logistic regression models
- expectation maximization
- linear svm
- feature ranking
- information gain
- machine learning
- svm classifier
- multi class
- nearest neighbor rule
- decision forest
- classification accuracy
- kernel function
- reinforcement learning
- training data
- feature extraction
- pairwise
- cross validation
- prior knowledge
- data mining