Lukasz Cielecki

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Learning Classifier Systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. A new model of LCSs is introduced to classify(More)
The grammar-based classifier system (GCS) is a new version of learning classifier systems (LCS) in which classifiers are represented by context-free grammar in Chomsky normal form. GCS evolves one grammar during induction (the Michigan approach) which gives it the ability to find the proper set of rules very quickly. However it is quite sensitive to any(More)
This paper juxtaposes performance of the grammar- based classifier system (GCS) with tabular representation algorithm (TBL) on the task of inducing context-free grammars from partially structured examples. In both cases structured examples rapidly improve the efficiency of learning algorithms, although there are substantial differences in the way they work.(More)
Learning classifier systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. The new model of LCS - so-called rGCS - is used to(More)
INTRODUCTION Breast cancer is increasingly a disease of the elderly, and combined with the NHS Breast Screening Extension means that more elderly patients are having mammography. Increasing age can make mammography more technically difficult. This is a technical note detailing the results of a local audit which may be of interest due to potential service(More)
Extended classifier systems (XCS) introduced by Wilson became popular instrument used to solve many real-world problems possible to express with ternary representation. Our new model of real-valued LCS - the rGCS - is designed to classify real valued data. rGCS is based on grammar-based classifier system (GCS), which was originally used to process context(More)
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