Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers
Year:2009
Research Areas
  • Operative research,
  • Statistics
Information
Abstract
The "large k (genes), small N (samples)" phenomenon complicates the problem of microarray classification with logistic regression. The indeterminacy of the maximum likelihood solutions, multicollinearity of predictor variables and data over-fitting cause unstable parameter estimates. Moreover, computational problems arise due to the large number of predictor (genes) variables. Regularized logistic regression excels as a solution. However, the difficulties found here involve an objective function hard to be optimized from a mathematical viewpoint and a careful required tuning of the regularization parameters.
International
Si
JCR
Si
Title
METHODS OF INFORMATION IN MEDICINE
ISBN
0026-1270
Impact factor JCR
1,057
Impact info
Volume
48
Journal number
3
From page
236
To page
241
Month
ENERO
Ranking
Participants
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
  • Autor: Victor Robles Forcada (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
  • Departamento: Inteligencia Artificial
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)