The paper introduces knowledge-based taxonomy mapping, statistical logistic regression, and a hybrid MAP approach for translating music genres across tag systems, with the hybrid performing best on multilabel metrics.
We tackle this scenario with an hybrid Bayesian approach that leverages the KB translation as a prior for the logistic regression model trained with Maximum A Posteriori (MAP)
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Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
The paper introduces knowledge-based taxonomy mapping, statistical logistic regression, and a hybrid MAP approach for translating music genres across tag systems, with the hybrid performing best on multilabel metrics.