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Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents.

, , , , и . RSCTC, том 8536 из Lecture Notes in Computer Science, стр. 288-298. Springer, (2014)

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Joaquín Díaz

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Joaquín Barrera Calderón

 

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New Score for Independence Based on the Imprecise Dirichlet Model., и . ISIPTA, стр. 1-10. SIPTA, (2005)Bagging Decision Trees on Data Sets with Classification Noise., и . FoIKS, том 5956 из Lecture Notes in Computer Science, стр. 248-265. Springer, (2010)Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data., и . Expert Syst. Appl., 41 (5): 2514-2525 (2014)Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures., и . ECSQARU, том 4724 из Lecture Notes in Computer Science, стр. 512-523. Springer, (2007)An ensemble method using credal decision trees., и . Eur. J. Oper. Res., 205 (1): 218-226 (2010)Maximising entropy on the nonparametric predictive inference model for multinomial data., , и . Eur. J. Oper. Res., 212 (1): 112-122 (2011)Credal decision trees in noisy domains., и . ESANN, (2014)Some Variations on the PC Algorithm., , и . Probabilistic Graphical Models, стр. 1-8. (2006)Varying Parameter in Classification Based on Imprecise Probabilities., , , и . SMPS, том 37 из Advances in Soft Computing, стр. 231-239. Springer, (2006)Required mathematical properties and behaviors of uncertainty measures on belief intervals., и . Int. J. Intell. Syst., (2021)