Accelerating difficulty estimation for conformal regression forests

DOI10.1007/s10472-017-9539-9zbMath1377.62112OpenAlexW2594573597WikidataQ59612244 ScholiaQ59612244MaRDI QIDQ1680848

Henrik Linusson, Henrik Boström, Ulf Johansson, Tuve Löfström

Publication date: 16 November 2017

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-35193

zbMATH Keywords

regressionrandom forestsconformal predictionnonconformity measures

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric regression and quantile regression (62G08) Nonparametric tolerance and confidence regions (62G15) General nonlinear regression (62J02)

Related Items

Conformal Prediction: A Gentle Introduction, Unnamed Item, Efficient Venn predictors using random forests

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
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• Bagging predictors
• Cross-conformal predictors
• Regression conformal prediction with random forests
• Regression Conformal Prediction with Nearest Neighbours
• Random forests