Bayesian networks for interpretable machine learning and optimization.
Bojan MihaljevicConcha BielzaPedro LarrañagaPublished in: Neurocomputing (2021)
Keyphrases
- bayesian networks
- machine learning
- optimization problems
- conditional independence
- feature selection
- learning bayesian networks
- constrained optimization
- natural language processing
- data mining
- conditional probabilities
- optimization algorithm
- knowledge acquisition
- graphical models
- computer science
- knowledge representation
- optimization approaches
- neural network
- optimization model
- explanation based learning
- learning algorithm
- artificial intelligence
- global optimization
- machine learning algorithms
- pattern recognition
- probability distribution
- combinatorial optimization
- optimization method
- reinforcement learning
- statistical learning
- optimization process
- learning systems
- hidden variables
- probabilistic reasoning
- active learning
- knowledge discovery