Neural random forests

DOI10.1007/S13171-018-0133-YzbMath1437.62228arXiv1604.07143OpenAlexW2963096189MaRDI QIDQ2300087

Erwan Scornet, Gérard Biau, Johannes Welbl

Publication date: 24 February 2020

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1604.07143

zbMATH Keywords

neural networksrandomizationrandom forestsensemble methodssparse networks

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (3)

Smoothing and adaptation of shifted Pólya tree ensembles ⋮ ExSpliNet: An interpretable and expressive spline-based neural network ⋮ Unnamed Item

Uses Software

• UCI-ml
• Scikit
• TensorFlow
• Adam
• BartPy
• obliqueRF

Cites Work

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• BART: Bayesian additive regression trees
• A data-driven software tool for enabling cooperative information sharing among police departments
• A distribution-free theory of nonparametric regression
• Consistency of random forests
• A random forest guided tour
• Learning Deep Architectures for AI
• Nonparametric estimation via empirical risk minimization
• Random survival forests for high‐dimensional data
• Data Mining with Decision Trees
• Convergence of stochastic processes
• Random forests

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