A bias/variance decomposition for models using collective inference

DOI10.1007/s10994-008-5066-6zbMath1470.68152OpenAlexW2165472456MaRDI QIDQ1009278

Jennifer Neville, David D. Jensen

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5066-6

zbMATH Keywords

evaluationstatistical relational learningcollective inference

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• NetKit

Cites Work

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• Variance and bias for general loss functions
• Very simple classification rules perform well on most commonly used datasets
• Network-based marketing: identifying likely adopters via consumer networks
• 10.1162/153244301753344614
• Snowball Sampling

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