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On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers.

, , and . IEEE Access, (2020)

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Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes., , , and . CoRR, (2017)GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks., , , and . SDM, page 298-306. SIAM, (2022)Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble., , , and . HPCC/DSS/SmartCity/DependSys, page 761-768. IEEE, (2022)Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets., , , , , and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 147-158. Springer, (2023)Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data., , , and . PAKDD (2), volume 13281 of Lecture Notes in Computer Science, page 367-379. Springer, (2022)Alleviating naive Bayes attribute independence assumption by attribute weighting., , , and . J. Mach. Learn. Res., 14 (1): 1947-1988 (2013)Efficient parameter learning of Bayesian network classifiers., , , , , , and . Mach. Learn., 106 (9-10): 1289-1329 (2017)Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes., , , and . Mach. Learn., 107 (8-10): 1303-1331 (2018)Aspect-based automated evaluation of dialogues., , , , , and . Knowl. Based Syst., (November 2023)Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles., , , and . DICTA, page 478-485. IEEE, (2023)