Classification of the trained and untrained emitter types based on class probability output networks.
Lee Suk KimHan Bin BaeRhee Man KilChurl Hee JoPublished in: Neurocomputing (2017)
Keyphrases
- class probabilities
- multi class
- training set
- decision trees
- classification accuracy
- class probability estimation
- classification models
- probability estimates
- naive bayes
- machine learning
- bayesian methods
- class probability estimates
- class distribution
- class labels
- svm classifier
- classification algorithm
- binary classifiers
- generative model
- pattern classification
- decision boundary
- density function
- training examples
- cost sensitive
- cross validation
- image classification
- nearest neighbor
- feature vectors
- pairwise
- feature space
- support vector
- bayesian networks
- feature extraction
- feature selection