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Flight delay is a nondeterministic problem. Modeling and estimating flight delay is very important in the flight delay research. It is also the precondition to calculate delay propagation. A new Bayesian network structure learning algorithm, named target-fixed stochastic-ordered K2(TSK2), has been proposed in this paper. After using this new algorithm to build the Bayesian network of flight delay,...
Bayesian networks encode causal relations between variables using probability and graph theory. We employ genetic algorithm to exploit these causal relations from data for classification problems, thus restricting the search space from directed acyclic graphs to trees. Prufer number encoding of the structure is employed for the representation of individuals in the genetic algorithm. Several score...
Building high-accuracy and efficient Bayesian network classifiers is a hot theme of Bayesian network classifier in recent years. It is often the case that building unrestricted Bayesian network classifier with large number of attributes is time-consuming and always gets poor result, since the searching space of network structure is huge. This paper proposes a clustering based Bayesian network structure...
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