Node deletion sequences in influence diagrams using genetic algorithms

Author： Gómez M.   Bielza C.  

Publisher： Springer Publishing Company

ISSN： 0960-3174

Source： Statistics and Computing, Vol.14, Iss.3, 2004-08, pp. : 181-198

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A useful tool for statistical estimation: genetic algorithms

By Pasia Joseph  

Journal of Statistical Computation and Simulation, Vol. 75, Iss. 4, 2005-04 ,pp. : 237-251

Taylor & Francis Ltd

Access to resources Recommend Favorite

Analysis and correction of bias in Total Decrease in Node Impurity measures for tree-based algorithms

By Sandri Marco  

Statistics and Computing, Vol. 20, Iss. 4, 2010-10 ,pp. : 393-407

Springer Publishing Company

Access to resources Recommend Favorite

Genetic algorithms in parameter estimation for nonlinear regression models: an experimental approach

By Kapanoglu Muzaffer  

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 10, 2007-01 ,pp. : 851-867

Taylor & Francis Ltd

Access to resources Recommend Favorite

Double threshold autoregressive conditionally heteroscedastic model building by genetic algorithms

By Baragona Roberto  

Journal of Statistical Computation and Simulation, Vol. 78, Iss. 6, 2008-01 ,pp. : 541-558

Taylor & Francis Ltd

Access to resources Recommend Favorite

Genetic algorithms for outlier detection in multiple regression with different information criteria

By Gurunlu Alma Ozlem  

Journal of Statistical Computation and Simulation, Vol. 81, Iss. 1, 2011-01 ,pp. : 29-47

Taylor & Francis Ltd

Access to resources Recommend Favorite