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Graph ensemble boosting for imbalanced noisy graph stream classification
Many applications involve stream data with structural dependency, graph representations, and continuously increasing volumes. For these …
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Locally weighted learning: how and when does it work in Bayesian networks?
Bayesian network (BN), a simple graphical notation for conditional independence assertions, is promised to represent the probabilistic …
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Self-adaptive attribute weighting for Naive Bayes classification
Naive Bayes (NB) is a popular machine learning tool for classification, due to its simplicity, high computational efficiency, and good …
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Dynamic classifier ensemble for positive unlabeled text stream classification
Most of studies on streaming data classification are based on the assumption that data can be fully labeled. However, in real-life …
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