Ensemble of penalized logistic models for classification of high-dimensional data

DOI10.1080/03610918.2019.1595647zbMath1497.62149OpenAlexW2935725891MaRDI QIDQ5082679

Asma Gul, Musarrat Ijaz, Zahid Asghar

Publication date: 21 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1595647

zbMATH Keywords

classificationensemble methodhigh-dimension datapenalized logistic models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Diverse classifiers ensemble based on GMDH-type neural network algorithm for binary classification

Uses Software

• plsgenomics
• glmnet

Cites Work

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• Random lasso
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• Support-vector networks
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• The Group Lasso for Logistic Regression
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Regularization and Variable Selection Via the Elastic Net
• Dimension Reduction for Classification with Gene Expression Microarray Data
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests

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