Regression Methods for Combining Multiple Classifiers

DOI10.1080/03610918.2013.794286zbMath1328.62385OpenAlexW1971770471MaRDI QIDQ5252864

Mirosław Krzyśko, Tomasz Górecki

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.794286

zbMATH Keywords

logistic regressionnonparametric regressionpartial least-squares regressionstacked regressionregression combining techniquethe lasso and the elastic net

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• On the shortest spanning subtree of a graph and the traveling salesman problem
• Combining discriminant methods in solving classification problems in two-group discriminant analysis
• Least angle regression. (With discussion)
• Approximations of the critical region of the fbietkan statistic
• A COMPARISON STUDY OF SOME COMBINED CLASSIFIERS
• Combining Pattern Classifiers
• Classification, Parameter Estimation and State Estimation
• Regularization and Variable Selection Via the Elastic Net
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
• Encyclopedia of Distances

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