545 search results - page 61 / 109 » Support Vector Regression Using Mahalanobis Kernels |
BMCBI
2008
13 years 9 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
NIPS
2001
13 years 10 months ago
2001
A novel approach for comparing sequences of observations using an explicit-expansion kernel is demonstrated. The kernel is derived using the assumption of the independence of the ...
CBMS
2007
IEEE
14 years 3 months ago
2007
IEEE
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...