Evaluating Product-Based Possibilistic Networks Learning Algorithms

DOI10.1007/978-3-319-20807-7_28zbMath1465.68254OpenAlexW2269190978MaRDI QIDQ3451189

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Publication date: 10 November 2015

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

Full work available at URL: https://doi.org/10.1007/978-3-319-20807-7_28

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• WEBWEAVR-III

Cites Work

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• A generic framework for a compilation-based inference in probabilistic and possibilistic networks
• The max-min hill-climbing Bayesian network structure learning algorithm
• Hybrid possibilistic networks
• Possibility theory and statistical reasoning
• Single value simulation of fuzzy variable
• Possibilistic conditional independence: A similarity-based measure and its application to causal network learning
• Uncertainty and Information
• Graphical Models
• SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach

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