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An Improved Attribute Selection Measure for Decision Tree Induction.

, и . FSKD (4), стр. 654-658. IEEE Computer Society, (2007)0-7695-2874-0.

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Learning From Crowds With Multiple Noisy Label Distribution Propagation., , , и . IEEE Trans. Neural Networks Learn. Syst., 33 (11): 6558-6568 (2022)An Improved Attribute Selection Measure for Decision Tree Induction., и . FSKD (4), стр. 654-658. IEEE Computer Society, (2007)0-7695-2874-0.Weight Adjusted Naive Bayes., , , и . ICTAI, стр. 825-831. IEEE, (2018)Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted., , и . FSKD, том 4223 из Lecture Notes in Computer Science, стр. 365-368. Springer, (2006)C4.5 or Naive Bayes: A Discriminative Model Selection Approach., , и . ICANN (1), том 9886 из Lecture Notes in Computer Science, стр. 419-426. Springer, (2016)Learning k-Nearest Neighbor Naive Bayes for Ranking., , и . ADMA, том 3584 из Lecture Notes in Computer Science, стр. 175-185. Springer, (2005)Lazy Averaged One-Dependence Estimators., и . Canadian AI, том 4013 из Lecture Notes in Computer Science, стр. 515-525. Springer, (2006)Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing., , и . ACM Trans. Knowl. Discov. Data, 17 (7): 96:1-96:18 (2023)Not so greedy: Randomly Selected Naive Bayes., , , и . Expert Syst. Appl., 39 (12): 11022-11028 (2012)CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection., , и . Expert Syst. Appl., (2021)