Bootstrap re-sampling for unbalanced data in supervised learning

DOI10.1016/S0377-2217(00)00244-7zbMath1004.62040WikidataQ127918941 ScholiaQ127918941MaRDI QIDQ5945204

Masato Koda, Georges Dupret

Publication date: 10 October 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

decision support systemssimulationneural networksdata mining

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Nonparametric statistical resampling methods (62G09) Learning and adaptive systems in artificial intelligence (68T05) Management decision making, including multiple objectives (90B50)

Related Items

FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE, Bootstrap re-sampling for unbalanced data in supervised learning

Uses Software

• bootstrap

Cites Work

• Estimating the dimension of a model
• The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
• Stochastic sensitivity analysis method for neural network learning
• Bootstrap re-sampling for unbalanced data in supervised learning
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