A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments

When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. In this paper, this issue is addressed through a new procedure that allows the extending of different crisp feature selection algorithms to vague data. The partial...

Descripción completa

Detalles Bibliográficos
Autores principales: Otero, José, Palacios, Ana, Suárez, Rosario, Junco, Luis, Couso, Inés, Sánchez, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119680/
https://www.ncbi.nlm.nih.gov/pubmed/25114967
http://dx.doi.org/10.1155/2014/468405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119680/
https://www.ncbi.nlm.nih.gov/pubmed/25114967
http://dx.doi.org/10.1155/2014/468405

Ejemplares similares