Metalearning for gene expression data classification

• Tipo: Capítulo ou Parte de Livro
• Data: 2008

Autores

De Souza, BF (Autor) Outra; De Carvalho, A (Autor) Outra; Soares, C (Autor) FEP

Livro

Título: Proceedings - 8Th International Conference on Hybrid Intelligent Systems, His 2008

Páginas: 441-446

ISBN: 9780769533261

Indexação

ISI Web of Knowledge

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-007-NTG

DOI: 10.1109/his.2008.157

Abstract (EN): Machine Learning techniques have been largely applied to the problem of class prediction in microarray data. Nevertheless, current approaches to select appropriate methods for such task often result unsatisfactory in many ways, instigating the need for the development of tools to automate the process. In this context, the authors introduce the use of metalearning in the specific domain of gene expression classification. Experiments with the KNN-ranking method for algorithm recommendation applied for 49 datasets yielded successful results. © 2008 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: 8Th International Conference on Hybrid Intelligent Systems, His 2008, 10 September 2008 through 12 September 2008, Sponsors IEEE Systems Man and Cybernetics Society;European Neural Network Society;International Fuzzy Systems Association;European Society for Fuzzy Logic and Technology