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Alliance Beats Isolation: Unifying Heterogeneous Allied Datasets Improves Classifier Performance

Palshikar, Girish Keshav
arXiv (All) · Papers
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machine-learning
In many application domains, such as student dropout, insurance fraud, loan approval, and machine failures, several labelled public datasets are available where (i) data is about the same type of objects but the set of actual underlying objects are disjoint; and (ii) the class labels are same; and (
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