Information theoretic fitness measures for learning classifier systems.
Karthik KuberChilukuri K. MohanPublished in: GECCO (Companion) (2010)
Keyphrases
- information theoretic
- learning classifier systems
- information theoretic measures
- genetic algorithm
- evolutionary algorithm
- mutual information
- classifier systems
- information theory
- entropy measure
- theoretic framework
- evolutionary computation
- information bottleneck
- reinforcement learning
- log likelihood
- fitness function
- real valued
- jensen shannon divergence
- kullback leibler divergence
- relative entropy
- genetic programming
- computer vision
- rule sets
- kl divergence
- error rate
- high dimensional
- feature extraction