Learning Complex Bayesian Network Features for Classification.
Peter AntalAndrás GezsiGábor HullámAndrás MillinghofferPublished in: Probabilistic Graphical Models (2006)
Keyphrases
- classification accuracy
- prior knowledge
- feature construction
- learning process
- feature set
- feature extraction
- bayesian networks
- learning algorithm
- bayesian network classifiers
- classification process
- svm classifier
- feature vectors
- pattern recognition
- supervised learning
- unsupervised learning
- learning phase
- markov blanket
- visual object recognition
- dynamic bayesian networks
- classification method
- feature space
- benchmark datasets
- incremental learning
- statistical learning
- classification algorithm
- class labels
- reinforcement learning
- machine learning
- support vector machine
- positive and unlabeled examples
- histogram intersection kernel
- learning bayesian networks
- extracted features
- feature selection algorithms