Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
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.
How to cite this article:
Wensen An and Yanguang Sun . PKSVR: A Novel Prior Knowledge-based Support Vector Regression.
DOI: https://doi.org/10.36478/ajit.2005.978.980
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.978.980