Building projectable classifiers of arbitrary complexity.
Tin Kam HoEugene M. KleinbergPublished in: ICPR (1996)
Keyphrases
- decision trees
- support vector
- test set
- training set
- machine learning algorithms
- decision problems
- feature selection
- computational complexity
- majority voting
- feature set
- classification systems
- multiple classifier systems
- neural network
- learning classifier systems
- supervised classification
- classification rate
- space complexity
- naive bayes
- training samples
- upper bound
- computational cost
- training data