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PKSVR: A Novel Prior Knowledge-based Support Vector Regression

机译:PKSVR:一种新颖的基于先验知识的支持向量回归

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摘要

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.
机译:首先介绍了支持向量回归的标准公式,然后以不等式的形式并入了先验知识,通过期望的回归函数满足了不等式的形式,作为补偿训练数据不足的一种手段,详细讨论了经典支持向量回归的修正方法。 。实验结果表明,该方法可以显着提高支持向量回归的性能。

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