Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs.
Tek Raj ChhetriSareh AghaeiAnna FenselUlrich GöhnerSebnem Gül-FiciciJorge Martínez GilPublished in: EUROCAST (2022)
Keyphrases
- structure learning
- bayesian networks
- manufacturing process
- graphical models
- parameter estimation
- markov logic networks
- transfer learning
- process control
- conditional independence
- quality control
- knowledge discovery
- knowledge management
- knowledge base
- manufacturing systems
- maximum likelihood
- knowledge representation
- prior knowledge
- belief propagation
- data mining
- probabilistic model
- image processing
- domain knowledge
- user interface