The first one is a Hill climbing method which uses an improved neighbourhood definition, whereas the second algorithm is its natural extension based on the well ...
The first one is a Hill climbing method which uses an improved neighbourhood definition, whereas the second algorithm is its natural extension based on the well ...
Structural Learning of Bayesian Networks by Using Variable ...
dl.acm.org › doi › abs › ISDA.2009.157
The first one is a Hill climbing method which uses an improved neighbourhood definition, whereas the second algorithm is its natural extension based on the well ...
Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. ISDA '09: Proceedings of the 2009 Ninth ...
The second algorithm is an extension of the first one, and is based on the well-known Variable Neighbourhood Search metaheuristic. Finally, iterative ...
based on the Hill-Climbing algorithm, and uses an improved neighbourhood definition. Structural learning of Bayesian networks (BNs) is an NP-hard problem ...
Structural learning of bayesian networks by using variable neighbourhood search based on the space of orderings. JI Alonso-Barba, JM Puerta.
Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. Juan Ignacio Alonso-Barba, Luis delaOssa, ...
Several hybrid methods have been proposed recently such as (Gámez et al., 2011) which in the neighbourhood is dynamically constrained to speed the search.
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Keywords Bayesian networks Structural learning Orderings Variable Neighbourhood Search 1 Introduction Learning Bayesian networks is a complex task which has ...