In a recent study, Schulenburg and Ross (2001) proposed the LCS for short-term stock forecast. Studley and Bull (2007) proposed the extended classifier system (XCS) agent to model different traders by supplying different input information. Announcement made byMorgan Stanley Capital Investment (MSCI) regarding the additions, removals, and even the weights of the component stocks in its country i...

XCS is a learning classifier system that uses genetic algorithms to evolve a population of classifiers online. When applied to classification problems described by continuous attributes, XCS has demonstrated to be able to evolve classification models—represented as a set of independent interval-based rules—that are, at least, as accurate as those created by some of the most competitive machine ...

This paper introduces a class of hierarchically structured classification problems that call for effective building block identification and processing in XCS and learning classifier systems in general.

BACKGROUND DNA microarray gene expression classification poses a challenging task to the machine learning domain. Typically, the dimensionality of gene expression data sets could go from several thousands to over 10,000 genes. A potential solution to this issue is using feature selection to reduce the dimensionality. AIMS The aim of this paper is to investigate how we can use feature quality ...

Extended Classifier Systems, or XCS, have been shown to be successful at developing accurate, complete and compact mappings of a problem’s payoff landscape. However, the experimental results presented in the literature frequently utilize population sizes significantly larger than the size of the search space. This resource requirement may limit the range of problem/hardware combinations to whic...

We present our most recent efforts in applying XCS to automatic target recognition (ATR). We place particular emphasis on ATR as a series of linked problems, which include pre-processing of multi-spectral data, detection of objects (in this case, vehicles) in that data, and identification (classification) of those objects. Multi-spectral data contains visual imagery, and additional imagery from...

The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in theXMM–NewtonScience Archive. Its main aims are to measure cosmological parameters and trace the evolution of X-ray scaling relations. In this paper we describe the data processing methodology applied to the 5776 XMM observations used to construct the current XCS source catalogue. A t...