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Article information
2006 , Volume 11, ¹ 2, p.3-14
Trafalis T.B., Malyscheff A.M.
Computation of the regression kernel matrix using semidefinite programming
In this paper we calculate the optimal kernel matrix for regression analysis problems from three basis matrices by employing a semidefinite programming formulation and thereby benefiting from the transductive nature of these techniques. Preliminary experimental results using standard benchmark data are presented for which the optimal parameters for a linear combination of three basis kernel matrices are retrieved.
[full text] Author(s):
Trafalis T.B.
Office: School of Industrial Engineering University of Oklahoma
Address: USA, Norman
E-mail: ttrafalis@ou.edu
Malyscheff A.M.
Office: School of Industrial Engineering University of Oklahoma
Address: USA, Norman
E-mail: malyscheff@gmail.com
Bibliography link:
Trafalis T.B., Malyscheff A.M. Computation of the regression kernel matrix using semidefinite programming // Computational technologies. 2006. V. 11. ¹ 2. P. 3-14
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