Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss
© 1963-2012 IEEE. A loss function measures the discrepancy between the true values and their estimated fits, for a given instance of data. In classification problems, a loss function is said to be proper if a minimizer of the expected loss is the true underlying probability. We show that for binary...
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Format: | Article |
Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/135947 |