ML-Like Inference for Classifiers.
Cristiano CalcagnoEugenio MoggiWalid TahaPublished in: ESOP (2004)
Keyphrases
- maximum likelihood
- training data
- support vector
- machine learning algorithms
- test set
- decision trees
- collective classification
- multiple classifiers
- bayesian networks
- inference engine
- feature selection
- classification rate
- classification systems
- feature set
- training set
- classification decisions
- ensemble learning
- probabilistic inference
- classification models
- classification method
- naive bayes
- feature space
- belief networks
- classification algorithm
- svm classifier
- class labels
- training examples
- linear classifiers
- training samples
- decision boundary
- ensemble classifier
- classifier combination
- data points
- genetic algorithm