Genetic-program-based data mining for hybrid decision-theoretic algorithms and theories

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{smith:2005:SPIE,
  author =       "James F. {Smith, III}",
  title =        "Genetic-program-based data mining for hybrid
                 decision-theoretic algorithms and theories",
  booktitle =    "Intelligent Computing: Theory and Applications III",
  year =         "2005",
  editor =       "Kevin L. Priddy",
  volume =       "5803",
  pages =        "86--97",
  month =        "28 " # mar,
  publisher =    "SPIE",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1117/12.603151",
  abstract =     "A genetic program (GP) based data mining (DM)
                 procedure has been developed that automatically creates
                 decision theoretic algorithms. A GP is an algorithm
                 that uses the theory of evolution to automatically
                 evolve other computer programs or mathematical
                 expressions. The output of the GP is a computer program
                 or mathematical expression that is optimal in the sense
                 that it maximizes a fitness function. The decision
                 theoretic algorithms created by the DM algorithm are
                 typically designed for making real-time decisions about
                 the behavior of systems. The database that is mined by
                 the DM typically consists of many scenarios
                 characterized by sensor output and labeled by experts
                 as to the status of the scenario. The DM procedure will
                 call a GP as a data mining function. The GP
                 incorporates the database and expert's rules into its
                 fitness function to evolve an optimal decision
                 theoretic algorithm. A decision theoretic algorithm
                 created through this process will be discussed as well
                 as validation efforts showing the utility of the
                 decision theoretic algorithm created by the DM process.
                 GP based data mining to determine equations related to
                 scientific theories and automatic simplification
                 methods based on computer algebra will also be
                 discussed.",
}

Genetic Programming entries for James F Smith III

Citations