447 search results - page 21 / 90 » Choosing Multiple Parameters for Support Vector Machines |
BMCBI
2004
13 years 7 months ago
2004
Background: The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to ann...
IJCNN
2000
IEEE
14 years 5 days ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
This paper describes an e cient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...