Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions

13 Feb 2018 • Mehmet Eren Ahsen • Robert Vogel • Gustavo Stolovitzky

Learning algorithms that aggregate predictions from an ensemble of diverse base classifiers consistently outperform individual methods. Many of these strategies have been developed in a supervised setting, where the accuracy of each base classifier can be empirically measured and this information is incorporated in the training process... (read more)

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