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Aug, 2014
有序回归方法的一致性
On the Consistency of Ordinal Regression Methods
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Fabian Pedregosa, Francis Bach, Alexandre Gramfort
TL;DR
通过特征函数的导数在0处的刻画,给一类替代性损失函数提供Fisher Consistency特性的证明。
Abstract
ordinal regression
is a common supervised learning problem sharing properties with both regression and classification. Many of the
ordinal regression
algorithms that have been proposed can be viewed as methods th
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