Fast algorithms for robust classification with Bayesian nets

DOI10.1016/j.ijar.2006.07.011zbMath1116.68097OpenAlexW2134144489MaRDI QIDQ881796

Alessandro Antonucci, Marco Zaffalon

Publication date: 18 May 2007

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2006.07.011

zbMATH Keywords

Bayesian networksmissing dataimprecise probabilitiesvaluation algebrascredal classificationconservative updating rule

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (2)

Decision-theoretic specification of credal networks: a unified language for uncertain modeling with sets of Bayesian networks ⋮ Feature selection for Bayesian network classifiers using the MDL-FS score

Cites Work

• Updating beliefs with incomplete observations
• Credal networks
• The naive credal classifier
• Partial identification of probability distributions.
• The computational complexity of probabilistic inference using Bayesian belief networks
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