Updating Probabilistic Knowledge on Condition/Event Nets using Bayesian Networks
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Publication:5009443
DOI10.4230/LIPIcs.CONCUR.2018.27OpenAlexW2827292235MaRDI QIDQ5009443
Barbara König, Reiko Heckel, Benjamin Cabrera, Tobias Heindel
Publication date: 4 August 2021
Full work available at URL: https://arxiv.org/abs/1807.02566
Bayesian networksPetri netsprobabilistic databasescondition/event netsprobabilistic knowledgedynamic probability distributions
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Cites Work
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- Languages for monoidal categories
- Bayesian network classifiers
- A predicate/state transformer semantics for Bayesian learning
- Normal forms for algebras of connections.
- An algebraic presentation of term graphs, via gs-monoidal categories
- Markings in perpetual free-choice nets are fully characterized by their enabled transitions
- The computational complexity of probabilistic inference using Bayesian belief networks
- Picturing Quantum Processes
- A Survey of Graphical Languages for Monoidal Categories
- Probabilistic Databases
- Differential Privacy: A Survey of Results
- Free Choice Petri Nets
- The Algebra of Directed Acyclic Graphs
- A Formal Semantics of Influence in Bayesian Reasoning
- An Invitation to Applied Category Theory
- Categorical algebra
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