Author:
Borges Helyane Bronoski,Nievola Júlio Cesar
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference24 articles.
1. Achlioptas, D. (2001). Database-friendly random projections. In Proceedings of the ACM symposium on the principles of database systems, (pp. 274–281).
2. Distinct types of diffuse large B-cell Lymphoma Identified by gene expression profiling;Alizadeh;Nature,2000
3. Bertoni, A., & Valentini, G. (2005). Random projections for assessing gene expression cluster stability, IJCNN ’05. In Proceedings IEEE international joint conference on neural networks, 1, (pp. 149–154).
4. Borges, H. B., & Nievola, J. C. (2005). Attribute Selection Methods Comparison for Classification of Diffuse Large B-Cell Lymphoma. In Proceedings of the fourth international conference on machine learning and applications–ICMLA05, Los Angeles, 1, (pp. 201–206).
5. Borges, H. B. (2006). Redução de Dimensionalidade em Bases de Dados de Expressões Gênica. Dissertação (Mestrado em Informática Aplicada). 123f. PPGIA -Pontifícia Universidade Católica do Paraná - PUCPR.
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