@article{MAKHILLAJIT20054115000,
    title = {PKSVR: A Novel Prior Knowledge-based Support Vector Regression},
    journal = {Asian Journal of Information Technology},
    volume = {4},
    number = {11},
    pages = {978-980},
    year = {2005},
    issn = {1682-3915},
    doi = {ajit.2005.978.980},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2005.978.980},
    author = {Wensen An and},
    keywords = {Prior knowledge,support vector regression,support vector machines},
    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.}
    }