Symbolic regression using nearest neighbor indexing

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@InProceedings{McRee:2010:geccocomp,
  author =       "Randall K. McRee",
  title =        "Symbolic regression using nearest neighbor indexing",
  booktitle =    "GECCO 2010 Symbolic regression workshop",
  year =         "2010",
  editor =       "Steven Gustafson and Mark Kotanchek",
  isbn13 =       "978-1-4503-0073-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1983--1990",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830761.1830841",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In this paper, we introduce a new nearest neighbour
                 data structure and describe several ways that it may be
                 used for symbolic regression. Compared to genetic
                 programming alone an algorithm using nearest neighbor
                 indexing can search a much larger space and even so,
                 typically find smaller, more general models. In
                 addition, we introduce permutation tests in order to
                 discriminate between relevant and irrelevant
                 features.",
  notes =        "Kana Software - service experience software. Simple
                 test formulea used by Veenhuis, Cerny.

                 Also known as \cite{1830841} Distributed on CD-ROM at
                 GECCO-2010.

                 ACM Order Number 910102.",
}

Genetic Programming entries for Randall K McRee

Citations