Bayesian Networks as Ensemble of Classifiers.
Ashutosh GargVladimir PavlovicThomas S. HuangPublished in: ICPR (2) (2002)
Keyphrases
- bayesian networks
- ensemble learning
- ensemble classifier
- naive bayes
- probabilistic classifiers
- multiple classifiers
- training data
- ensemble pruning
- classifier ensemble
- training set
- combining classifiers
- majority voting
- decision tree classifiers
- final classification
- base classifiers
- accurate classifiers
- feature selection
- randomized trees
- feature ranking
- class label noise
- majority vote
- ensemble methods
- ensemble classification
- individual classifiers
- decision trees
- trained classifiers
- mining concept drifting data streams
- multiple classifier systems
- weighted voting
- classifier combination
- imbalanced data
- weak classifiers
- class labels
- neural network
- diversity measures
- publicly available data sets
- one class support vector machines
- conditional independence
- random forests
- classification algorithm
- support vector
- bayesian network classifiers
- weak learners
- structure learning
- rule induction algorithm
- training samples
- bias variance decomposition
- concept drifting data streams
- text categorization
- ensemble members
- probabilistic model
- svm classifier
- generalization ability
- classification models
- probability distribution
- feature set
- graphical models
- binary classification problems
- machine learning algorithms
- logistic regression
- linear classifiers
- roc curve
- learning algorithm
- random forest
- augmented naive bayes
- machine learning methods