On discriminative Bayesian network classifiers and logistic regression

DOI10.1007/s10994-005-0471-6zbMath1101.68785OpenAlexW2099992083MaRDI QIDQ1778143

Teemu Roos, Petri Myllymäki, Hannes Wettig, Peter D. Grünwald, Henry R. Tirri

Publication date: 17 June 2005

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

Full work available at URL: https://doi.org/10.1007/s10994-005-0471-6

zbMATH Keywords

Bayesian networkslogistic regressiondiscriminative learningBayesian classifiers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (10)

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes ⋮ \(\text{ALR}^n\): accelerated higher-order logistic regression ⋮ Efficient parameter learning of Bayesian network classifiers ⋮ Score-based methods for learning Markov boundaries by searching in constrained spaces ⋮ Learning Bayesian network classifiers by risk minimization ⋮ Discriminative vs. Generative Learning of Bayesian Network Classifiers ⋮ Bayesian classifiers based on kernel density estimation: flexible classifiers ⋮ Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers ⋮ A conditional independence algorithm for learning undirected graphical models ⋮ Discrete Bayesian Network Classifiers

Uses Software

• UCI-ml

Cites Work

• Evidential reasoning using stochastic simulation of causal models
• Estimating the dimension of a model
• Bayesian network classifiers
• Properties of Diagnostic Data Distributions
• Fisher information and stochastic complexity
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