Comparison between quantum-like and classical inferences over a Bayesian network learned using an incomplete dataset (with 70% of missing data).
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https://figshare.com/articles/dataset/Comparison_between_quantum-like_and_classical_inferences_over_a_Bayesian_network_learned_using_an_incomplete_dataset_with_70_of_missing_data_/7536554
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The results show that quantum-like inferences achieved an average error of 5.90% when compared to the 22.85% error obtained in the classical inference. The column COMPLETE DATA BN represents the control network, which was learned using the full dataset.
创建时间：
2018-12-31
