Designing a Massive Dataset Framework for the Grammatical Evolution System

Files in This Item:
File Description SizeFormat 
nicolau2016a.pdf53.17 kBAdobe PDFDownload
Title: Designing a Massive Dataset Framework for the Grammatical Evolution System
Authors: Nicolau, Miguel
Permanent link:
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 evolutionComputer modelling
Other versions:
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Status of Item: Not peer reviewed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

Show full item record


checked on May 25, 2018

Google ScholarTM


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.