Title :
Decision support in attribute selection with machine learning approach
Author :
Arbex, Wagner ; Conde de Oliveira, Fabrizzio ; Fonseca e Silva, Fabyano ; Varona, Luis ; Barbosa da Silva, Marcos ViniÌcius Gualberto ; da Silva Verneque, Rui ; Hasenclever Borges, Carlos Cristiano
Author_Institution :
Brazilian Agric. Res. Corp. - Embrapa, Juiz de Fora, Brazil
Abstract :
This paper proposes a method to simultaneously select the most relevant single nucleotide polymorphisms (SNPs) markers - the attributes - for the characterization of any measurable phenotype described by a continuous variable using support vector regression (SVR) with Pearson VII Universal Kernel (PUK). The proposed study is multiattribute towards considering several markers simultaneously to explain the phenotype and is based jointly on a statistical tools, machine learning and computational intelligence.
Keywords :
biology computing; decision support systems; learning (artificial intelligence); regression analysis; support vector machines; PUK; Pearson VII Universal Kernel; SNP marker; SVR; attribute selection; computational intelligence; continuous variable; decision support; machine learning approach; phenotype characterization; single nucleotide polymorphism marker; statistical tools; support vector regression; Accuracy; Dairy products; Genetic algorithms; Genetics; Kernel; Standards; Support vector machines; SVR; attribute selection; computational modeling; decision support; machine learning;
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
DOI :
10.1109/CISTI.2014.6877002
