434 search results - page 26 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
DCC
2009
IEEE
14 years 9 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
IJON
2006
13 years 8 months ago
2006
The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
CANDC
2002
ACM
13 years 8 months ago
2002
ACM
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
PR
2006
13 years 8 months ago
2006
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
ICML
2006
IEEE
14 years 2 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...