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Using XCS as a Prediction Engine in Data Compression
2007
Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007)
unpublished
XCS has been used in several fields as a prediction engine before; its population based nature enables XCS to generate sets of properly pruned classification rules. Further, unlike other population based algorithms, it learns using rewards. These properties encouraged us to use it as a predictor engine for lossless data compression. In the compression context, XCS can be used to find the hidden relations in files of the same type. So, we used it as a preprocessor before an entropy encoder, to
doi:10.2991/iske.2007.112
fatcat:o2hxuanwlbccbnp5wdip5xgaxq