What is complexity of learning Bayesian networks with bounded vertex cover unmber?
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Learning Bayesian networks with bounded vertex cover number has been shown to be tractable in polynomial time for any fixed vertex cover number bound k . This is in contrast to the general case where the learning problem remains NP-hard even for tree-width 2 . The complexity of learning bounded vertex cover number Bayesian networks is further explored, and it is shown that the learning problem is W[1]-hard in parameter k . Additionally, an alternative method using integer linear programming (ILP) for learning bounded vertex cover number Bayesian networks is proposed, which has been shown to be feasible in practice .
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| The provided paper does not mention anything about the complexity of learning Bayesian networks with a bounded vertex cover number. | |
Open access•Posted Content | The paper does not mention the complexity of learning Bayesian networks with a bounded vertex cover number. The paper focuses on the complexity of Polytree Learning and its relationship with the number of variables and the maximum parent set size. |
Open access•Proceedings Article 07 Dec 2015 | The complexity of learning Bayesian networks with bounded vertex cover number is shown to be W[1]-hard in parameter k. |
| The complexity of learning Bayesian networks with bounded vertex cover number is not mentioned in the provided paper. | |
Open access•Posted Content | The paper does not mention anything about the complexity of learning Bayesian networks with bounded vertex cover number. |
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