Robustifying sum-product networks

DOI10.1016/j.ijar.2018.07.003zbMath1453.62533OpenAlexW2884724441WikidataQ59246027 ScholiaQ59246027MaRDI QIDQ1726242

Fabio Gagliardi Cozman, Cassio Polpo de Campos, Diarmaid Conaty, Katja Poppenhaeger, Denis Deratani Mauá

Publication date: 20 February 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://dspace.library.uu.nl/handle/1874/369058

zbMATH Keywords

sensitivity analysisrobust statisticscredal classificationsum-product networkspredicting the age of starstractable probabilistic models

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to physics (62P35) Galactic and stellar structure (85A15) Probabilistic graphical models (62H22)

Related Items (3)

Cautious classification with data missing not at random using generative random forests ⋮ Tractable inference in credal sentential decision diagrams ⋮ Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks

Uses Software

• UCI-ml

Cites Work

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