Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
Marko Robnik-SikonjaAristidis LikasConstantinos ConstantinopoulosIgor KononenkoErik StrumbeljPublished in: ICANNGA (1) (2011)
Keyphrases
- support vector machine svm
- support vector machine
- support vector
- neural network
- radial basis function
- classification accuracy
- image classification
- automatic classification
- pattern recognition
- classification algorithm
- feature extraction
- classification scheme
- classification method
- multi layer perceptron
- unsupervised learning
- decision makers
- decision trees
- classification systems
- rbf neural network
- incremental learning
- probabilistic networks
- preprocessing
- feature space
- training set
- svm classifier
- class labels
- artificial neural networks
- causal networks
- feature vectors
- probabilistic model
- supervised learning
- multi class
- decision making
- radial basis function network
- classification decisions
- classification models
- multilayer perceptron
- pattern classification
- wireless networks
- benchmark datasets
- state space
- bayesian networks
- feature selection
- social networks