Classification using Dirichlet priors when the training data are mislabeled.
Robert S. Lynch Jr.Peter K. WillettPublished in: ICASSP (1999)
Keyphrases
- training data
- classification accuracy
- decision trees
- classification models
- training set
- supervised learning
- class labels
- training samples
- training process
- support vector machine
- classification scheme
- feature vectors
- support vector
- feature extraction
- pattern classification
- machine learning
- pattern recognition
- prior information
- classification method
- classification algorithm
- learning algorithm
- training dataset
- cross validation
- model selection
- naive bayes
- support vector machine svm
- feature set
- active learning
- generalization error
- prior knowledge
- preprocessing
- feature selection
- unseen data
- land cover classification