Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition.
Konstantinos SirlantzisSanaul HoqueMichael C. FairhurstPublished in: Multiple Classifier Systems (2003)
Keyphrases
- classifier systems
- input space
- handwriting recognition
- learning classifier systems
- feature space
- training set
- genetic algorithm
- rule based systems
- dimensionality reduction
- real valued
- high dimensional
- decision trees
- low dimensional
- character recognition
- input data
- data points
- evolutionary algorithm
- feature selection
- kernel function
- training samples
- natural language
- support vector