Learning Bayesian network parameters under incomplete data with domain knowledge

DOI10.1016/j.patcog.2009.04.006zbMath1175.68372OpenAlexW2086815218MaRDI QIDQ2270781

Qiang Ji, Wenhui Liao

Publication date: 29 July 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.04.006

zbMATH Keywords

EM algorithmmissing dataBayesian network parameter learningfacial action unit (AU) recognition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (7)

A novel method for combining Bayesian networks, theoretical analysis, and its applications ⋮ An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method ⋮ A multi-objective evolutionary algorithm for enhancing Bayesian networks hybrid-based modeling ⋮ Bayesian network models for incomplete and dynamic data ⋮ Learning from incomplete data in Bayesian networks with qualitative influences ⋮ Mathematical modeling for active and dynamic diagnosis of crop diseases based on Bayesian networks and incremental learning ⋮ Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks

Uses Software

• Cohn-Kanade

Cites Work

• Unnamed Item
• The EM algorithm for graphical association models with missing data
• Adaptive probabilistic networks with hidden variables
• Learning Bayesian network parameters under order constraints
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Robust learning with missing data

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