Machine Learning of Bayesian Networks Using Constraint Programming.
Peter van BeekHella-Franziska HoffmannPublished in: CP (2015)
Keyphrases
- constraint programming
- bayesian networks
- machine learning
- combinatorial problems
- constraint satisfaction problems
- constraint propagation
- constraint satisfaction
- column generation
- machine learning or data mining
- machine learning and data mining
- integer programming
- search strategies
- symmetry breaking
- np hard problems
- global constraints
- search heuristics
- hard and soft constraints
- arc consistency
- backtrack search
- probabilistic reasoning
- itemset mining
- constraint optimization
- constraint solver
- constraint logic programming
- constraint solving
- learning algorithm
- decision trees
- finite domain
- knowledge representation
- data mining
- propositional satisfiability
- reinforcement learning
- optimal solution
- knapsack problem
- inductive logic programming
- computational complexity
- dynamic programming