Strategies for weighted combination of classifiers employing shared and distinct representations.
Ali HojjatoleslamiJosef KittlerPublished in: ICPR (1998)
Keyphrases
- majority vote
- classifier combination
- classification decisions
- support vector
- fusion strategies
- multiple classifier systems
- multiple classifiers
- classification method
- augmented naive bayes
- feature representations
- naive bayes
- combining classifiers
- classification algorithm
- feature selection
- classification systems
- supervised classification
- ensemble learning
- class labels
- decision trees
- machine learning algorithms
- closely related
- training samples
- mining concept drifting data streams
- data sets
- training data
- training set
- support vector machine
- higher level
- semi supervised learning
- k nearest neighbour
- test set
- linear classifiers
- classification rate
- weighted sum