supportvectorordinalregressionmachine (SVORM) is an effective method for ordinalregression problem. Up to now, the SVORM implicitly assumes the training data to be known exactly. However, in practice, the trainin...
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supportvectorordinalregressionmachine (SVORM) is an effective method for ordinalregression problem. Up to now, the SVORM implicitly assumes the training data to be known exactly. However, in practice, the training data subject to measurement noise. In this paper, we propose a robust version of SVORM. The robustness of the proposed method is validated by our preliminary numerical experiments.
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