87 search results - page 11 / 18 » A Neural Support Vector Network Architecture with Adaptive K... |
ICANN
2005
Springer
14 years 25 days ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
FLAIRS
2004
13 years 8 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
TON
1998
13 years 7 months ago
1998
—We present an end system architecture designed to support networking with quality of service (QoS) guarantees. The protocol processing component of the architecture, called Migr...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...