Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
Pedro Antonio GutiérrezJuan Carlos FernándezCésar HervásFrancisca López-GranadosMontserrat Jurado-ExpósitoJosé Manuel Peñá-BarragánPublished in: HIS (2008)
Keyphrases
- logistic regression
- support vector
- feature selection
- fold cross validation
- decision trees
- naive bayes
- logistic regression models
- classification accuracy
- linear support vector machines
- support vector machine
- text classification
- feature ranking
- machine learning
- linear svm
- classification and regression trees
- credit scoring
- feature extraction
- sensed data
- logistic model
- classification models
- loss function
- classification trees
- feature set
- belief nets
- feature space
- neural network
- class membership probabilities
- naive bayes classifier
- information gain
- decision tree algorithms
- odds ratio
- unsupervised learning
- bayesian classifier
- svm classifier
- support vector machine svm
- text categorization
- bayes rule
- supervised learning
- nearest neighbor
- bayesian networks