Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithms

DOI10.1007/s11750-008-0054-3zbMath1154.62053OpenAlexW2005162636WikidataQ57242983 ScholiaQ57242983MaRDI QIDQ1001363

J. Martínez

Publication date: 17 February 2009

Published in: Top (Search for Journal in Brave)

Full work available at URL: http://oa.upm.es/2392/

zbMATH Keywords

logistic regressionevolutionary algorithmsestimation of distribution algorithmscalibration and discrimination

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

A discrete particle swarm optimization method for feature selection in binary classification problems

Uses Software

• R
• UCI-ml

Cites Work

• Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
• Applications of optimization heuristics to estimation and modelling problems
• Feature Subset Selection by Bayesian network-based optimization
• Learning Bayesian networks in the space of structures by estimation of distribution algorithms
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