Efficient interleaved sampling of training data in genetic programming

R. Muhammad Atif Azad; David Medernach; Conor Ryan

doi:10.1145/2598394.2598480

Efficient interleaved sampling of training data in genetic programming

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	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference
Publisher	Association for Computing Machinery
Pages	127-128
Number of pages	2
ISBN (Print)	9781450328814
DOIs	https://doi.org/10.1145/2598394.2598480
Publication status	Published (VoR) - 2014
Event	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion - Vancouver, BC, Canada Duration: 12 Jul 2014 → 16 Jul 2014

Publication series

Name	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

Conference

Conference	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
Country/Territory	Canada
City	Vancouver, BC
Period	12/07/14 → 16/07/14

Keywords

Computational efficiency
Genetic Programming
Interleaved Sampling
Over-fitting
Robustness of solutions
Speedup technique

Access to Document

10.1145/2598394.2598480

Cite this

Azad, R. M. A., Medernach, D., & Ryan, C. (2014). Efficient interleaved sampling of training data in genetic programming. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference (pp. 127-128). (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). Association for Computing Machinery. https://doi.org/10.1145/2598394.2598480

Azad, R. Muhammad Atif ; Medernach, David ; Ryan, Conor. / Efficient interleaved sampling of training data in genetic programming. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. pp. 127-128 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

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language = "English",

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series = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",

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pages = "127--128",

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note = "16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion ; Conference date: 12-07-2014 Through 16-07-2014",

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Azad, RMA, Medernach, D & Ryan, C 2014, Efficient interleaved sampling of training data in genetic programming. in GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 127-128, 16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion, Vancouver, BC, Canada, 12/07/14. https://doi.org/10.1145/2598394.2598480

Efficient interleaved sampling of training data in genetic programming. / Azad, R. Muhammad Atif; Medernach, David; Ryan, Conor.
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. p. 127-128 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

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

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KW - Over-fitting

KW - Robustness of solutions

KW - Speedup technique

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M3 - Conference contribution

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BT - GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

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Azad RMA, Medernach D, Ryan C. Efficient interleaved sampling of training data in genetic programming. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery. 2014. p. 127-128. (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). doi: 10.1145/2598394.2598480

Efficient interleaved sampling of training data in genetic programming

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Keywords

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