Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Discovering patterns in spatial data using evolutionary programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
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If knowledge can be gained at the pre-processing stage, concerning the approximate underlying structure of large databases, it can be used to assist in performing various operations such as variable subset selection and model selection. In this paper we examine three methods, including two evolutionary methods for finding this approximate structure as quickly as possible. We describe two applications where the fast identification of correlation structure is essential and apply these three methods to the associated datasets. This automatic approach to the searching of approximate structure is useful in applications where domain specific knowledge is not readily available.