976 search results - page 111 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
174
click to vote
TIP
2008
15 years 5 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
191
click to vote
ICANN
2005
Springer
15 years 11 months 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...
196
click to vote
IJCNN
2006
IEEE
16 years 1 days 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...
163
click to vote
AIIA
2007
Springer
15 years 10 months ago
2007
Springer
One of the aims of modern Bioinformatics is to discover the molecular mechanisms that rule the protein operation. This would allow us to understand the complex processes involved i...
163
click to vote
ACL
2003
15 years 7 months ago
2003
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...