Learning a flexible \(K\)-dependence Bayesian classifier from the chain rule of joint probability distribution

DOI10.3390/e17063766zbMath1341.62194OpenAlexW1582247229MaRDI QIDQ296380

Haoyu Zhao, Li-Min Wang

Publication date: 15 June 2016

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e17063766

Mathematics Subject Classification ID

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

Cites Work

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• A Mathematical Theory of Communication
• Investigation of commuting Hamiltonian in quantum Markov network
• Constrained domain maximum likelihood estimation for naive Bayes text classification
• Bayesian network classifiers
• Learning Bayesian networks from data: An information-theory based approach
• Proper Quaternion Gaussian Graphical Models
• Discrete Bayesian Network Classifiers
• Approximating discrete probability distributions with dependence trees