Efficient approaches to interleaved sampling of training data for symbolic regression

R. Muhammad Atif Azad; David Medernach; Conor Ryan

doi:10.1109/NaBIC.2014.6921874

Efficient approaches to interleaved sampling of training data for symbolic regression

R. Muhammad Atif Azad, David Medernach, Conor Ryan

University of Limerick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	176-183
Number of pages	8
ISBN (Electronic)	9781479959372
DOIs	https://doi.org/10.1109/NaBIC.2014.6921874
Publication status	Published (VoR) - 12 Oct 2014
Event	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014 - Porto, Portugal Duration: 30 Jul 2014 → 1 Aug 2014

Publication series

Name	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

Conference

Conference	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014
Country/Territory	Portugal
City	Porto
Period	30/07/14 → 1/08/14

Keywords

Genetic Programming
optimisation
over fitting

Access to Document

10.1109/NaBIC.2014.6921874

Cite this

Azad, R. M. A., Medernach, D., & Ryan, C. (2014). Efficient approaches to interleaved sampling of training data for symbolic regression. In 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014 (pp. 176-183). Article 6921874 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NaBIC.2014.6921874

Azad, R. Muhammad Atif ; Medernach, David ; Ryan, Conor. / Efficient approaches to interleaved sampling of training data for symbolic regression. 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 176-183 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

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title = "Efficient approaches to interleaved sampling of training data for symbolic regression",

keywords = "Genetic Programming, optimisation, over fitting",

author = "Azad, {R. Muhammad Atif} and David Medernach and Conor Ryan",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014 ; Conference date: 30-07-2014 Through 01-08-2014",

year = "2014",

month = oct,

day = "12",

doi = "10.1109/NaBIC.2014.6921874",

language = "English",

series = "2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014",

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Azad, RMA, Medernach, D & Ryan, C 2014, Efficient approaches to interleaved sampling of training data for symbolic regression. in 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014., 6921874, 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 176-183, 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014, Porto, Portugal, 30/07/14. https://doi.org/10.1109/NaBIC.2014.6921874

Efficient approaches to interleaved sampling of training data for symbolic regression. / Azad, R. Muhammad Atif; Medernach, David; Ryan, Conor.
2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 176-183 6921874 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - over fitting

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BT - 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

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Azad RMA, Medernach D, Ryan C. Efficient approaches to interleaved sampling of training data for symbolic regression. In 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 176-183. 6921874. (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014). doi: 10.1109/NaBIC.2014.6921874

Efficient approaches to interleaved sampling of training data for symbolic regression

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