Designing a Massive Dataset Framework for the Grammatical Evolution System
|Title:||Designing a Massive Dataset Framework for the Grammatical Evolution System||Authors:||Nicolau, Miguel||Permanent link:||http://hdl.handle.net/10197/8182||Date:||6-Jul-2016||Online since:||2016-12-02T15:42:15Z||Abstract:||In this study, a GE-framework is built, in an effort to apply it to huge datasets. Combining statistical techniques such as appropriate error measures and data splitting, population-based improvements such as mass parallelisation, and even specific techniques such as grammar design and repeat management, GE is applied for the first time to massive datasets, such as the Higgs dataset (eleven million samples).||Type of material:||Conference Publication||Keywords:||Grammatical evolution; Computer modelling||Other versions:||http://www.euro2016.poznan.pl/||Language:||en||Status of Item:||Not peer reviewed||Conference Details:||28th European Conference on Operational Research (EURO 2016) Poznan, Poland, 3-6 July 2016|
|Appears in Collections:||Business Research Collection|
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