Evidence and scenario sensitivities in naive Bayesian classifiers

DOI10.1016/j.ijar.2008.02.008zbMath1184.62038OpenAlexW2139940584MaRDI QIDQ962645

Linda C. van der Gaag, Silja Renooij

Publication date: 7 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2008.02.008

zbMATH Keywords

sensitivityrobustnessnaive Bayesian classifiers

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items (7)

Efficient sensitivity analysis in hidden Markov models ⋮ A simplified matrix formulation for sensitivity analysis of hidden Markov models ⋮ A novel divergence for sensitivity analysis in Gaussian Bayesian networks ⋮ Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks ⋮ Co-variation for sensitivity analysis in Bayesian networks: properties, consequences and alternatives ⋮ Multi-dimensional classification with Bayesian networks ⋮ Discrete Bayesian Network Classifiers

Cites Work

• Unnamed Item
• On the optimality of the simple Bayesian classifier under zero-one loss
• Properties of sensitivity analysis of Bayesian belief networks

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