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Title: Bayesian-Network-Structure-Learning-master Download
 Description: In general, the construction of Bayesian network is to determine the structural model, i.e. directed acyclic graph, by experts in related fields according to the relationship between things, and then determine the conditional probability of each node by other methods, but the network model constructed in this way can not guarantee its objectivity and reliability
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FilenameSizeDate
Bayesian-Network-Structure-Learning-master 0  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea 0  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\.name 21  2018-07-14

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Bayesian-Network-Structure-Learning-master\.idea\LearnNetworkStructure.iml 345  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\cycleAlgoritm.iml 345  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\dictionaries 0  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\dictionaries\AlexLlamas.xml 148  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\misc.xml 213  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\modules.xml 302  2018-07-14

Bayesian-Network-Structure-Learning-master\.idea\vcs.xml 164  2018-07-14

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Bayesian-Network-Structure-Learning-master\breastCancerComparison-100000samples 0  2018-07-14

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Bayesian-Network-Structure-Learning-master\breastCancerComparison-50000samples\50000samples_SyntheticBreastCancerData.csv 3824772  2018-07-14

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