Inference in possibilistic network classifiers under uncertain observations.
Salem BenferhatKarim TabiaPublished in: Ann. Math. Artif. Intell. (2012)
Keyphrases
- possibilistic networks
- inference process
- possibility theory
- causal networks
- graphical models
- collective classification
- incomplete information
- machine learning
- support vector
- computer networks
- neural network
- peer to peer
- feature selection
- network model
- communication networks
- bayesian inference
- linear classifiers
- network traffic
- complex networks
- probabilistic inference
- hidden markov models
- data sets
- classifier ensemble
- bayesian networks
- radial basis function network
- decision trees
- classifier combination
- training samples
- feature set