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Boosting improves stability and accuracy of genetic programming in biological classification

, , and . Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, chapter 18, Springer, Ann Arbor, (11-13 May 2006)

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Massively Parallel MIMD Architectures Achieves High Performance in a Spam Filter., , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 691-698. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Boosting improves stability and accuracy of genetic programming in biological classification, , and . Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, chapter 18, Springer, Ann Arbor, (11-13 May 2006)Searching large data volumes with MISD processing.. Norwegian University of Science and Technology, Trondheim, Norway, (2008)base-search.net (ftntnutrondircom:oai:brage.bibsys.no:11250/249906).