Ensemble selection for evolutionary learning using information theory and Price's theorem

GECCO 2006 - Genetic and Evolutionary Computation Conference

Volumn 2, Issue , 2006, Pages 1587-1588

  Card, Stuart W ^a   Mohan, Chilukuri K ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

Ensemble models; Evolutionary computation; Group selection; Machine learning; Mate selection; Price's Equation

Indexed keywords

EVOLUTIONARY ALGORITHMS; INFORMATION THEORY; SAMPLING; THEOREM PROVING;

ENSEMBLE MODELS; GROUP SELECTIONS; MATE SELECTIONS; PRICE'S EQUATIONS;

LEARNING SYSTEMS;

EID: 33750257907     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144254     Document Type: Conference Paper

References (4)

1. Principe J., Fisher III, and Xu D. Information Theoretic Learning. Unsupervised Adaptive Filtering. NY, 2000.
2. Altenberg, L. The Schema Theorem and Price's Theorem. Foundations of Genetic Algorithms 3. Morgan Kaufman, San Francisco, 1995.
3. Shannon, C. A Mathematical Theory of Communication. The Bell System Technical Journal, Vol. 27 (1948)
4. Torkkola, K. On Feature Extraction by Mutual Information Maximization. In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002.