Classifier Learning from Noisy Data as Probabilistic Evidence Combination.
Steven W. NortonHaym HirshPublished in: AAAI (1992)
Keyphrases
- learning from noisy data
- combination rule
- dempster shafer theory
- classifier combination
- noisy data
- training data
- classification decisions
- learning algorithm
- bayesian networks
- feature set
- probabilistic model
- linear classifiers
- multiple classifier systems
- feature selection
- combining classifiers
- classifier ensemble
- classification process
- decision trees
- neural network
- bayes rule
- support vector machine
- training set
- evidence theory
- multiple classifiers
- machine learning
- combining multiple
- classification scheme
- uncertain data
- posterior probability
- svm classifier
- training examples
- principal component analysis
- supervised learning
- image data
- support vector