Standard formulation of support vector regression is first introduced, and then a modification of classical support vector regression is discussed detailedly by incorporating prior knowledge in the form of inequalities to be satisfied by the desired regression function as a means of compensating for a shortage of training data. Experimental result shows that the proposed method can significantly improve the performance of support vector regression.
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