A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)

DOI10.1007/s10994-022-06221-9OpenAlexW3158376376MaRDI QIDQ71870

Jürgen Pilz, Oliver Tomic, Stefan Schrunner, Anna Jenul, Jürgen Pilz, Anna Jenul, Oliver Tomic, Stefan Schrunner

Publication date: 22 August 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.14787

zbMATH Keywords

Bayesian modelDirichlet-multinomialensemble feature selectionuser constraints

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

UBayFS

Uses Software

• R
• Scikit
• spls
• hyperdirichlet
• hyper2

Cites Work

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• hyperdirichlet
• hyper2
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• Model Selection and Estimation in Regression with Grouped Variables
• Random forests
• Gene selection for cancer classification using support vector machines
• A review of Bayesian variable selection methods: what, how and which
• A fast unified algorithm for solving group-lasso penalize learning problems

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