Inference and Learning in Multi-dimensional Bayesian Network Classifiers

DOI10.1007/978-3-540-75256-1_45zbMath1148.68453OpenAlexW1502772707MaRDI QIDQ3524958

Peter R. de Waal, Linda C. van der Gaag

Publication date: 16 September 2008

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-75256-1_45

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (9)

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers ⋮ Balanced Tuning of Multi-dimensional Bayesian Network Classifiers ⋮ Probability-based label enhancement for multi-dimensional classification ⋮ Decision functions for chain classifiers based on Bayesian networks for multi-label classification ⋮ A scalable pairwise class interaction framework for multidimensional classification ⋮ Most probable explanations in Bayesian networks: complexity and tractability ⋮ Multi-dimensional classification with Bayesian networks ⋮ Tractability of most probable explanations in multidimensional Bayesian network classifiers ⋮ Interval-based ranking in noisy evolutionary multi-objective optimization

Cites Work

• On the shortest spanning subtree of a graph and the traveling salesman problem
• Bayesian network classifiers
• The computational complexity of probabilistic inference using Bayesian belief networks
• The Pathwidth and Treewidth of Cographs

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