Interpretable machine learning: fundamental principles and 10 grand challenges
type: Item
instance of: scholarly article
title: Interpretable machine learning: fundamental principles and 10 grand challenges
DOI: 10.1214/21-SS133
author: Cynthia Rudin
author: Chaofan Chen
author: Zhi Chen
author: Haiyang Huang
author: Lesia Semenova
author: Chudi Zhong
published in: Statistics Surveys
publication date: 2022-02-09T00:00:00Z
full work available at URL: https://arxiv.org/abs/2103.11251
full work available at URL: 21-SS133.full
Mathematics Subject Classification ID: 68T01
Mathematics Subject Classification ID: 62-02
zbMATH DE Number: 7471610
zbMATH Keywords: explainable machine learning
zbMATH Keywords: interpretable machine learning
describes a project that uses: AlexNet
describes a project that uses: CLEVR
describes a project that uses: LargeVis
describes a project that uses: ORL
describes a project that uses: MurTree
describes a project that uses: UCI-ml
describes a project that uses: MNIST
describes a project that uses: largeVis
describes a project that uses: UMAP
describes a project that uses: CLEVR dataset
describes a project that uses: FPINNs
describes a project that uses: MLIC
describes a project that uses: Entropy-SGD
describes a project that uses: TriMap
describes a project that uses: AtSNE
describes a project that uses: ViCE
describes a project that uses: BEAMES
describes a project that uses: IMLI
describes a project that uses: openTSNE
describes a project that uses: GOSDT
describes a project that uses: Scikit
describes a project that uses: AdaBoost.MH
describes a project that uses: t-SNE
describes a project that uses: InfoGAN
describes a project that uses: gamair
describes a project that uses: SLIQ
describes a project that uses: Gephi
describes a project that uses: C4.5
describes a project that uses: PPINN
describes a project that uses: ImageNet
describes a project that uses: ForceAtlas2
describes a project that uses: CMAR
describes a project that uses: LMNN
describes a project that uses: Caltech-UCSD Birds
describes a project that uses: dSprites
describes a project that uses: FLAME
describes a project that uses: GitHub
MaRDI profile type: Publication
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Interpretable machine learning: fundamental principles and 10 grand challenges (OpenAlex ID)
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