Leal learns cross-table alignment without shared features by treating lower training loss as evidence of correct row matching, with a cluster sampler to limit the candidate set.
Ecml/pkdd 2002 discovery challenge: Hepatitis data set, 2002
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Learning Relational Tabular Data without Shared Features
Leal learns cross-table alignment without shared features by treating lower training loss as evidence of correct row matching, with a cluster sampler to limit the candidate set.