Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Ross:2000:AI,
  author =       "Brian J. Ross",
  title =        "Probabilistic Pattern Matching and the Evolution of
                 Stochastic Regular Expressions",
  journal =      "Applied Intelligence",
  year =         "2000",
  volume =       "13",
  pages =        "285--300",
  publisher =    "Springer Netherlands",
  keywords =     "genetic algorithms, genetic programming, stochastic
                 regular expressions, Computer Science",
  URL =          "http://www.cosc.brocku.ca/~bross/research/apin1303.pdf",
  DOI =          "doi:10.1023/A:1026524328760",
  size =         "16 pages",
  abstract =     "The use of genetic programming for probabilistic
                 pattern matching is investigated. A stochastic regular
                 expression language is used. The language features a
                 statistically sound semantics, as well as a syntax that
                 promotes efficient manipulation by genetic programming
                 operators. An algorithm for efficient string
                 recognition based on approaches in conventional regular
                 language recognition is used. When attempting to
                 recognise a particular test string, the recognition
                 algorithm computes the probabilities of generating that
                 string and all its prefixes with the given stochastic
                 regular expression. To promote efficiency, intermediate
                 computed probabilities that exceed a given cut-off
                 value will pre-empt particular interpretation paths,
                 and hence prune unconstructive interpretation. A few
                 experiments in recognising stochastic regular languages
                 are discussed. Application of the technology in
                 bioinformatics is in progress.",
  notes =        "SRE, definite clause translation grammar DCTG-GP,
                 Prolog. p295 chi-squared fitness test. Tomita RE
                 language. 'A test set is generated before every
                 generation'. stochastic regular language L2.R.C.
                 Carrasco and M.L. Forcada

                 Also known as
                 \cite{springerlink:10.1023/A:1026524328760}",
}

Genetic Programming entries for Brian J Ross

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