487 search results - page 2 / 98 » Dynamic Network Selection using Kernels |
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
ISNN
2005
Springer
13 years 10 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 ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...