Logistic Regression for Feature Selection and Soft Classification of Remote Sensing Data.
Qi ChengPramod K. VarshneyManoj K. AroraPublished in: IEEE Geosci. Remote. Sens. Lett. (2006)
Keyphrases
- logistic regression
- support vector
- feature selection
- fold cross validation
- remote sensing data
- decision trees
- naive bayes
- logistic regression models
- classification accuracy
- linear svm
- text classification
- linear support vector machines
- classification and regression trees
- feature ranking
- classification trees
- support vector machine
- classification models
- credit scoring
- svm classifier
- loss function
- class membership probabilities
- remote sensing
- feature extraction
- text categorization
- decision tree algorithms
- multispectral
- breast cancer
- feature space
- image classification
- feature set
- remote sensing images
- bayesian classifier
- machine learning
- knn
- feature vectors
- pattern recognition
- remotely sensed data
- odds ratio
- supervised learning
- unsupervised learning
- belief nets
- data sets
- data mining
- training set
- land cover
- information gain