Utilization of large disordered sample sets for classifier adaptation in complex domains.
Torsten CaesarJoachim M. GlogerEberhard MandlerPublished in: ICDAR (1993)
Keyphrases
- complex domains
- small sample
- reinforcement learning
- sample size
- learning classifier systems
- training set
- training samples
- test sample
- classification process
- support vector
- training data
- feature set
- classification algorithm
- linear classifiers
- domain theory
- bayesian networks
- representative samples
- positive samples
- learning algorithm
- sample set
- decision trees
- feature selection