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In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.
Gene expression microarrays are the most commonly available source of high-throughput biological data. Each microarray experiment is supposed to measure the gene expression levels of a set of genes in a number of different experimental conditions or time points. Integration of results from different microarray experiments to the specific analysis is an important and yet challenging problem. Direct...
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